Cubert Science Activity Report 2020
Worldwide there are more than 100 published research and industry papers on Cubert Hyperspectral Video Cameras. Our Top 3 most cited papers are:
#2
Aasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. J. (2018). Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows.
#1
Aasen, H., Burkart, A., Bolten, A., & Bareth, G. (2015). Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance.
#3
Bareth, G., Aasen, H., Bendig, J., Gnyp, M. L., Bolten, A., Jung, A., ... & Soukkamäki, J. (2015). Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: Spectral comparison with portable spectroradiometer measurements.
Application Fields 2014-2020
- Agriculture
- Forestry
- Water Spectroscopy & Oceanography
- Medicine
- Mineral Exploration & Geology
- Sensors, Systems & Calibration
- Video Spectroscopy
- Security
- Cultural Heritage & Archeology
Agriculture & Food
- Tao, H., Feng, H., Xu, L., Miao, M., Yang, G., Yang, X., & Fan, L. (2020). Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images. Sensors, 20(4), 1231.
Tags: yield, extracted plant height HCSM, estimation model, winter wheat - Liu, M., Yu, T., Gu, X., Sun, Z., Yang, J., Zhang, Z., … & Li, J. (2020). The Impact of Spatial Resolution on the Classification of Vegetation Types in Highly Fragmented Planting Areas Based on Unmanned Aerial Vehicle Hyperspectral Images. Remote Sensing, 12(1), 146.
Tags: object-based image analysis (OBIA), eucalyptus, citrus, sugarcane
- Wijesingha, J., Astor, T., Schulze-Brüninghoff, D., Wengert, M., & Wachendorf, M. (2020). Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy. Remote Sensing, 12(1), 126.
Tags: Forage quality, grassland, crude protein (CP), acid detergent fibre (ADF) - Liu, H., Zhu, H., Li, Z., & Yang, G. (2020). Quantitative analysis and hyperspectral remote sensing of the nitrogen nutrition index in winter wheat. International Journal of Remote Sensing, 41(3), 858-881.
Tags: nitrogen nutrition index, winter wheat, crops
- Jiménez, S. I. J., Bustamante, W. O., de Jesús, M., & Pablo, M. 2019: INFORMACIÓN DE DRONES Y SU ANÁLISIS EN LA AGRICULTURA DE PRECISIÓN. Link.
Tags: plataformas web, cámaras digitales, aplicaciones - Zhang, X., Zhao, J., Yang, G., Liu, J., Cao, J., Li, C., … & Gai, J. (2019). Establishment of Plot-Yield Prediction Models in Soybean Breeding Programs Using UAV-Based Hyperspectral Remote Sensing. Remote Sensing, 11(23), 2752.
Tags: plot-yield prediction, soybean, breeding - Dayananda, S., Astor, T., Wijesingha, J., Chickadibburahalli Thimappa, S., Dimba Chowdappa, H., Nidamanuri, R. R., … & Wachendorf, M. (2019). Multi-Temporal Monsoon Crop Biomass Estimation Using Hyperspectral Imaging. Remote Sensing, 11(15), 1771.
Tags: Monsoon crop, biomass estimation, lablab, maize, finger millet - Zhu, W., Sun, Z., Huang, Y., Lai, J., Li, J., Zhang, J., … & Li, Y. (2019). Improving Field-Scale Wheat LAI Retrieval Based on UAV Remote-Sensing Observations and Optimized VI-LUTs. Remote Sensing, 11(20), 2456.
Tags: wheat, PROSAIL, NDVI-LUT, average leaf angle - Szalay, K., Keller, B., Kovács, L., Rák, R., Peterfalvi, N., Sillinger, F., … & Jung, A. (2019). Physical protection in experimental raspberry plantation. INMATEH-Agricultural Engineering, 57(1).
Tags: raspberry, climate change, spectroscopy - Wachendorf, M., & Astor, T. (2019). The Benefit Of Spectral and Point-Cloud Data for Herbage Yield and Quality Assessment of Grasslands. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Tags: herbage yield, grassland quality assessment, crude protein or acid detergent fibre - Zhang, X., Han, L., Dong, Y., Shi, Y., Huang, W., Han, L., … & Sobeih, T. (2019). A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral UAV images. Remote Sensing, 11(13), 1554.
Tags: yellow rust disease, winter wheat, Puccinia striiformis f. sp. Tritici (Pst)
- Yan, Y., Deng, L., Liu, X., & Zhu, L. (2019). Application of UAV-Based Multi-angle Hyperspectral Remote Sensing in Fine Vegetation Classification. Remote Sensing, 11(23), 2753.
Tags: BRDF, maize, soybean, weeds, mulberry, peach, ash trees - Zhao, H., Song, X., Yang, G., Li, Z., Zhang, D., & Feng, H. (2019). Monitoring of Nitrogen and Grain Protein Content in Winter Wheat Based on Sentinel-2A Data. Remote Sensing, 11(14), 1724.
Tags: vegetation indices (VIs), plant nitrogen accumulation (PNA), plant nitrogen content (PNC), leaf nitrogen accumulation (LNA), leaf nitrogen content (LNC), nitrogen and grain protein content, winter wheat , Sentinel-2A - Xu, N., Tian, J., Tian, Q., Xu, K., & Tang, S. (2019). Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index. Remote Sensing, 11(10), 1192.
Tags: bare soil index (BSI), red edge (RE), NDCSI, LSMA - Li, Z., Li, Z., Fairbairn, D., Li, N., Xu, B., Feng, H., & Yang, G. (2019). Multi-LUTs method for canopy nitrogen density estimation in winter wheat by field and UAV hyperspectral. Computers and Electronics in Agriculture, 162, 174-182.
Tags: canopy nitrogen density (CND), winter wheat, hyperspectral - Yuan, L., Yan, P., Han, W., Huang, Y., Wang, B., Zhang, J., … & Bao, Z. (2019). Detection of anthracnose in tea plants based on hyperspectral imaging. Computers and Electronics in Agriculture, 167, 105039.
Tags: Tea plant, anthracnose, hyperspectral image - Jung, A., Vohland, M., Magyar, M., Kovács, L., Jung, T., Péterfalvi, N. & Szalay, K. (2019). Snapshot Hyperspectral Imaging for Field Data Acquisition in Agriculture (in Raspberry Plantation). Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation, 28, 1-7.
Tags: Raspberry, snapshot, hyperspectral, horticulture
- Viljanen, N., Honkavaara, E., Näsi, R., Hakala, T., Niemeläinen, O., & Kaivosoja, J. (2018). A novel machine learning method for estimating biomass of grass swards using a photogrammetric canopy height model, images and vegetation indices captured by a drone. Agriculture, 8(5), 70.
Tags: biomass estimation, UAV, canopy height - Behmann, J., Acebron, K., Emin, D., Bennertz, S., Matsubara, S., Thomas, S. & Mahlein, A. K. (2018). Specim IQ: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection. Sensors, 18(2), 441.
Tags: phenotyping, plant disease, phytopathology - Aasen, H., & Bolten, A. (2018). Multi-temporal high-resolution imaging spectroscopy with hyperspectral 2D imagers–From theory to application. Remote sensing of environment, 205, 374-389.
Tags: phenotyping, precision agriculture, vegetation indices, chlorophyll - Zhang, N., Zhang, X., Yang, G., Zhu, C., Huo, L., & Feng, H. (2018). Assessment of defoliation during the Dendrolimus tabulaeformis Tsai et Liu disaster outbreak using UAV-based hyperspectral images. Remote Sensing of Environment, 217, 323-339.
Tags: defoliation, Dendrolimus tabulaeformis, Tsai et Liu disaster, forest health - ÁRVAI, T. T. L. P. M., SIPOS, G., & KOVÁCS, K. B. Z. A. (2018): Review of research on salt-affected soils in the Debrecen agricultural high educational institutions, with special focus on the mapping of Hortobágy. Link.
Tags: salt-affected soils, Hortobágy, Hungary - Robbins, J. A. (2018). Small unmanned aircraft systems (sUAS): An emerging technology for horticulture. Hortic. Rev, 45, 33-71.
Tags: horticulture, sensors, phytonutrients - Zhu, H., Liu, H., Xu, Y., & Guijun, Y. (2018). UAV-based hyperspectral analysis and spectral indices constructing for quantitatively monitoring leaf nitrogen content of winter wheat. Applied optics, 57(27), 7722-7732.
Tags: winter wheat, leaf nitrogen content, quantitative
- Szalay, K., Keller, B., Rák, R., Péterfalvi, N., Kovács, L., Sillinger, F., & Jung, A. (2018). PHYSICAL PROTECTION AGAINST EXCESSIVE SOLAR RADIATION IN EXPERIMENTAL RASPBERRY PLANTATION. Link.
Tags: raspberry, solar radiation, climate change, shading, physical protection - Oehlschläger, J., Schmidhalter, U., & Noack, P. O. (2018, September). UAV-Based Hyperspectral Sensing for Yield Prediction in Winter Barley. In 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1-4). IEEE.
Tags: winter barley, yield estimation, breeding - Tu, Y., Bian, M., Wan, Y., & Fei, T. (2018). Tea cultivar classification and biochemical parameter estimation from hyperspectral imagery obtained by UAV. PeerJ, 6, e4858.
Tags: Tea cultivar classification, tea polyphenols (TP), amino acids (AA) - Li, D., Zheng, H., Xu, X., Lu, N., Yao, X., Jiang, J., … & Cheng, T. (2018, July). BRDF Effect on the Estimation of Canopy Chlorophyll Content in Paddy Rice from UAV-Based Hyperspectral Imagery. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 6464-6467). IEEE.
Tags: Canopy Chlorophyll Content (CCC), paddy rice, hyperspectral - Jung, A., Michels, R., & Rainer, G. (2018). Portable snapshot spectral imaging for agriculture. 1-6. Debrecen University Proceeding.
Tags: UAV, snapshot, agriculture - Yue, J., Feng, H., Jin, X., Yuan, H., Li, Z., Zhou, C., … & Tian, Q. (2018). A comparison of crop parameters estimation using images from UAV-mounted snapshot hyperspectral sensor and high-definition digital camera. Remote Sensing, 10(7), 1138.
Tags: crop surface model, crop height, aboveground biomass, LAI
- Perez-Sanz, F., Navarro, P. J., & Egea-Cortines, M. (2017). Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms. GigaScience, 6(11)
Tags: plant phenomics, phenology, pattern recognition - Zhao, X., Yang, G., Liu, J., Zhang, X., Xu, B., Wang, Y., … & Gai, J. (2017). Estimation of soybean breeding yield based on optimization of spatial scale of UAV hyperspectral image. Transactions of the Chinese Society of Agricultural Engineering, 33(1), 110-116.
Tags: soybean, breeding, China - Keller B., Jung A.,Nagy G. M., Dénes F., Péterfalvi N., Szalay K. (2017): HIPERSPEKTRÁLIS TÁVÉRZÉKELÉS ALKALMAZÁSI LEHETŐSÉGEINEK BEMUTATÁSA EGY MÁLNA ÜLTETVÉNY PÉLDÁJÁN KERESZTÜL. A Kutatói utánpótlást elősegítő program a Nemzeti Agrárkutatási és Innovációs Központban a Földművelésügyi Minisztérium támogatásával valósul meg. fiatalkutato. naik. hu, 63.
Tags: raspberry, climate change, Hungary - Livens, S., Pauly, K., Baeck, P., Blommaert, J., Nuyts, D., Zender, J., & Delauré, B. (2017). A Spatio-Spectral Camera for High Resolution Hyperspectral Imaging. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42.
Tags: strawberry, potato, wheat, meteorit
- Xia, L., Zhang, R. R., Chen, L. P., Wen, Y., Zhao, F., & Hou, J. J. (2017). Retrieving wheat Biomass by using a hyper-spectral device on UAV. Advances in Animal Biosciences, 8(2), 833-836. Link.
Tags: wheat biomass, UAV, animals - Yuan, H., Yang, G., Li, C., Wang, Y., Liu, J., Yu, H., … & Yang, X. (2017). Retrieving soybean leaf area index from unmanned aerial vehicle hyperspectral remote sensing: Analysis of RF, ANN, and SVM regression models. Remote Sensing, 9(4), 309.
Tags: LAI retrieval, hyperspectral remote sensing, sampling method - Yue, J., Yang, G., Li, C., Li, Z., Wang, Y., Feng, H., & Xu, B. (2017). Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models. Remote Sensing, 9(7), 708.
Tags: UAV, Crops - Rungpichayapichet, P., Nagle, M., Yuwanbun, P., Khuwijitjaru, P., Mahayothee, B., & Müller, J. (2017). Prediction mapping of physicochemical properties in mango by hyperspectral imaging. Biosystems Engineering, 159, 109-120.
Tags: Food sorting, Food Safety
- Qin, Z., Chang, Q., Xie, B., & Shen, J. (2016). Rice leaf nitrogen content estimation based on hysperspectral imagery of UAV in Yellow River diversion irrigation district. Transactions of the Chinese Society of Agricultural Engineering, 32(23), 77-85.
Tags: Rice, nitrogen, irrigation - Aasen, H. (2016). The acquisition of Hyperspectral Digital Surface Models of crops from UAV snapshot cameras. Doctoral dissertation, Universität zu Köln.
Tags: surface models, crops, vegetation
- Memic, E., Graeff-Hönninger, S., Claupein, W., Schomburg, H., & Brandes, A. Resource efficient plant protection based on a data driven multi-scale approach for the process chain-Diseases detection-decision support-demand specific fungicide application. Gesellschaft für Pflanzenbauwissenschaften e. V., 192., 2016
Tags: phytopathology, plant diseases, hyperspectral
- Jung, A., Vohland, M., & Thiele-Bruhn, S. (2015). Use of a portable camera for proximal soil sensing with hyperspectral image data. Remote Sensing, 7(9), 11434-11448.
Tags: soil spectroscopy, portable, land use, multivariate - Aasen, H., Burkart, A., Bolten, A., & Bareth, G. (2015). Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance. ISPRS Journal of Photogrammetry and Remote Sensing, 108, 245-259.
Tags: UAV, hyperspectral, vegetation, crops - Bareth, G., Aasen, H., Bendig, J., Gnyp, M. L., Bolten, A., Jung, A., … & Soukkamäki, J. (2015). Low-weight and UAV-based hyperspectral full-frame cameras for monitoring crops: Spectral comparison with portable spectroradiometer measurements. Photogrammetrie-Fernerkundung-Geoinformation, 2015(1), 69-79.
Tags: UAV, Crops, monitoring - Gebbers, R. (2014). Current crop and soil sensors for precision agriculture. In Congresso Brasileiro de Agricultura de precisao, Sao Pedro.
Tags: crops, sensors, precision agriculture - Jung, A., Vohland, M. (2014). Snapshot Hyperspectral Imaging for Soil Diagnostics–Results of a Case Study in the Spectral Laboratory. Photogrammetrie-Fernerkundung-Geoinformation, 2014(6), 511-522.
Tags: soil diagnostics, micro shadows, soil morphology
- Jung, A., & Vohland, M. (2014). Spectral Mobile Mapping for Rapid Soil Diagnostics–Results of a Laboratory Based Feasibility Test. Gemeinsame Tagung 2014 der DGfK, der DGPF, der GfGI und des GiN (DGPF Tagungsband 23 / 2014)
Tags: soil diagnostics, soil spectroscopy, multivariate - Bareth, G., Aasen, H., Bendig, J., Gnyp, M. L., Bolten, A., Jung, A., … & Soukkamäki, J. (2014, April). Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements. In Proceedings of the Workshop on UAV-basaed Remote Sensing Methods for Monitoring Vegetation (Vol. 94, pp. 1-6). Geographisches Institut der Universität zu Köln-Kölner Geographische Arbeiten.
Tags: UAV, crops, agriculture - Aasen, H., Bendig, J., Bolten, A., Bennertz, S., Willkomm, M., & Bareth, G. (2014). Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs. In ISPRS Technical Commission VII Symposium (Vol. 40, pp. 1-8). Copernicus GmbH.
Tags: crops, agriculture, UAV - Jung, A., Michels, R., Graser, R. 2013: Non-scanning hyperspectral imaging camera for UAS platforms (Nichtscannende hyperspektrale Kamera für UAS Plattformen). Bornimer Agrartechnische Berichte (ISSN 0947-7314), 81,141-147.
Tags: non-scanning, agriculture, video spectroscopy - Chaiareekitwat, S. (2012). Application Of NIR Spectroscopy and Hyperspectral Imaging for Classification of Anthracnose on Mango. Doctoral dissertation, Silpakorn University.
Tags: mango, anthracnose, disease, phytopathology
- Tao, H., Feng, H., Xu, L., Miao, M., Yang, G., Yang, X., & Fan, L. (2020). Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images. Sensors, 20(4), 1231.
Forestry
- Takahashi Miyoshi, G., Imai, N. N., Garcia Tommaselli, A. M., Antunes de Moraes, M. V., & Honkavaara, E. (2020). Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. Remote Sensing, 12(2), 244.
Tags: tree species, atlantic forest, classification, identification - Cao, J., Liu, K., Liu, L., Zhu, Y., Li, J., & He, Z. (2018). Identifying mangrove species using field close-range snapshot hyperspectral imaging and machine-learning techniques. Remote Sensing, 10(12), 2047.
Tags: UAV, forest, mangrove area - Cao, J., Leng, W., Liu, K., Liu, L., He, Z., & Zhu, Y. (2018). Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models. Remote Sensing, 10(1), 89.
Tags: UAV, forest, mangrove area
- Jenal, A., Weber, I., Kneer, C., & Bongartz, J. (2015). Der Tragschrauber als Sensorplattform für die Fernerkundung. Publikationen der Deut. Gesellschaft für Photogrammetrie, Fernerkundung u. Geoinformation eV, 24, 226-231.
Tags: gyrocopter, forest, ecology, environment - Weber, I., Jenal, A., Kneer, C., & Bongartz, J. (2015). Gyrocopter-based Remote Sensing Platform. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(7), 1333.
Tags: Gyrocopter, forestry, airborne - Weber, I., Kneer, C., Jenal, A., & Bongartz, J. (2015). Einsatz einer bildgebenden Hyperspektralkamera in einem Tragschrauber. In DGPF conference proceedings (Vol. 24, p. 2015).
Tags: forest. gyrocopter, spectral mapping
- Takahashi Miyoshi, G., Imai, N. N., Garcia Tommaselli, A. M., Antunes de Moraes, M. V., & Honkavaara, E. (2020). Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest. Remote Sensing, 12(2), 244.
Water Spectroscopy & Oceanography
- O’Shea, R. E., Laney, S. R., & Lee, Z. (2020). Evaluation of glint correction approaches for fine-scale ocean color measurements by lightweight hyperspectral imaging spectrometers. Applied Optics, 59(7), B18-B34.
Tags: glint correction, 650 nm, radiometrically derived water quality properties, capillary waves - Gilerson, A., Carrizo, C., Ibrahim, A., Foster, R., Harmel, T., El-Habashi, A., … & Ondrusek, M. (2020). Hyperspectral polarimetric imaging of the water surface and retrieval of water optical parameters from multi-angular polarimetric data. Applied Optics, 59(10), C8-C20.
Tags: Oceanography, water spectroscopy, polarization - Kern, J., & Schenk, A. (2019). A Multi-Modal System for Monitoring of Water Quality-Setup and First Results from Passauna Reservoir. Channels, 125(2500), 1.
Tags: water quality, turbidity, water surface temperature - Gilerson, A., Carrizo, C., Malinowski, M., Groetsch, P., Foster, R., & Estrella, E. H. (2019, October). Multi-and Hyperspectral Polarimetric Imaging of the Ocean Surface. In Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions. International Society for Optics and Photonics. 2019. (Vol. 11150, p. 1115007).
Tags: Oceanography, water spectroscopy, polarization - Gilerson, A., Carrizo, C., Foster, R., Harmel, T., Golovin, A., El-Habashi, A., … & Wright, T. (2019, May). Total and polarized radiance from the ocean surface from hyperspectral polarimetric imaging. In Ocean Sensing and Monitoring XI (Vol. 11014, p. 110140F). International Society for Optics and Photonics.
Tags: Oceanography, water spectroscopy, polarization, Stokes vector, video camera, water optical properties
- Carrizo, C. (2018). Hyperspectral and Polarimetric Imaging for Advanced Characterization of the Ocean Surface and Underwater Objects. Doctoral dissertation, The City College of New York.
Tags: water spectroscopy, underwater, oceanography, polarisation - Lodhi, V., Chakravarty, D., & Mitra, P. (2018). Hyperspectral imaging for earth observation: Platforms and instruments. Journal of the Indian Institute of Science, 98(4), 429-443.
Tags: underwater spectroscopy, water spectroscopy, UAV - Carrizo, C., Golovin, A., El-Habashi, A., Foster, R., Gray, D., Bowles, J., & Gilerson, A. (2018, May). Ocean surface characterization using snapshot hyperspectral polarimetric imager. In Ocean Sensing and Monitoring X (Vol. 10631, p. 1063107). International Society for Optics and Photonics.
Tags: Oceanography, water spectroscopy, polarization, Stokes vector, video camera, water optical properties - Caras, T., Hedley, J., & Karnieli, A. (2017). Implications of sensor design for coral reef detection: Upscaling ground hyperspectral imagery in spatial and spectral scales. International journal of applied earth observation and geoinformation, 63, 68-77.
Tags: coral reef detection, water spectroscopy, underwater
- O’Shea, R. E., Laney, S. R., & Lee, Z. (2020). Evaluation of glint correction approaches for fine-scale ocean color measurements by lightweight hyperspectral imaging spectrometers. Applied Optics, 59(7), B18-B34.
Medicine
- Fabelo, H., Melián, V., Martínez, B., Beltrán, P., Ortega, S., Marrero, M., … & Almeida, P. (2019, November). Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. In 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS) (pp. 1-6). IEEE.
Tags: skin cancer, diagnosis, clinical - Giannoni, L., Lange, F., Davies, A. L., Dua, A., Gustavson, B., Smith, K. J., & Tachtsidis, I. (2018). Hyperspectral imaging of the hemodynamic and metabolic states of the exposed cortex: investigating a commercial snapshot solution. In Oxygen Transport to Tissue XL (pp. 13-20). Springer, Cham.
Tags: Medical, Oxygen, Tissue, Surgery
- Spigulis, J. (2017). Multispectral, fluorescent and photoplethysmographic imaging for remote skin assessment. Sensors, 17(5), 1165.
Tags: skin assessment, video, multispectral
- Fabelo, H., Melián, V., Martínez, B., Beltrán, P., Ortega, S., Marrero, M., … & Almeida, P. (2019, November). Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. In 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS) (pp. 1-6). IEEE.
Mineral Exploration & Geology
- Jakob, S., Zimmermann, R., & Gloaguen, R. (2017). The need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: Mephysto—A toolbox for pre-processing drone-borne hyperspectral data. Remote Sensing, 9(1), 88.
Tags: Mineral exploration, MEPHysTo, Toolbox for Pre-processing
- Jakob, S., Zimmermann, R., & Gloaguen, R. (2016, August). Processing of drone-borne hyperspectral data for geological applications. In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1-5). IEEE.
Tags: geology, UAV, mapping
- Jakob, S., Zimmermann, R., & Gloaguen, R. (2017). The need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: Mephysto—A toolbox for pre-processing drone-borne hyperspectral data. Remote Sensing, 9(1), 88.
Sensors, Systems & Calibration
- Zhang, H., Zhang, B., Wei, Z., Wang, C., & Huang, Q. (2020). Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System. Remote Sensing, 12(4), 657.
Tags: georeferencing, mosaicking, radiometric correction, atmospheric correction - Beletkaia, E., & Pozo, J. (2020). More Than Meets the Eye: Applications enabled by the non-stop development of hyperspectral imaging technology. PhotonicsViews, 17(1), 24-26.
Tags: Linear variable bandpass filter, hyperspectral imaging, video spectroscopy
- Banerjee, B. P., Raval, S., & Cullen, P. J. (2020). UAV-hyperspectral imaging of spectrally complex environments. International Journal of Remote Sensing, 41(11), 4136-4159.
Tags: swam species, water, vegetation
- Berveglieri, A., Tommaselli, A. M. G., Santos, L. D., & Honkavaara, E. (2019). Bundle Adjustment of a Time-Sequential Spectral Camera Using Polynomial Models. IEEE Transactions on Geoscience and Remote Sensing, 57(11), 9252-9263.
Tags: Time-Sequential Spectral Camera, polynomial models, imaging techniques
- Oliveira, R. A., Tommaselli, A. M., & Honkavaara, E. (2019). Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera. ISPRS journal of photogrammetry and remote sensing, 147, 345-360.
Tags: digital surface, calibration, photogrammetry
- Honkavaara, E., & Khoramshahi, E. (2018). Radiometric correction of close-range spectral image blocks captured using an unmanned aerial vehicle with a radiometric block adjustment. Remote Sensing, 10(2), 256.
Tags: close-range, radiometric Block Adjustment, calibration - Zhong, Y., Wang, X., Xu, Y., Wang, S., Jia, T., Hu, X., … & Zhang, L. (2018). Mini-UAV-borne hyperspectral remote sensing: From observation and processing to applications. IEEE Geoscience and Remote Sensing Magazine, 6(4), 46-62.
Tags: processing, miniature, review - Zhao, J., Zhou, C., Huang, L., Yang, X., Xu, B., & Liang, D. (2018). Fusion of Unmanned Aerial Vehicle Panchromatic and Hyperspectral Images Combining Joint Skewness-Kurtosis Figures and a Non-Subsampled Contourlet Transform. Sensors, 18(10), 3467.
Tags: non-subsampled contourlet transform (NSCT); joint skewness-kurtosis figure (JSKF), IHS transform - Tommaselli, A. M. G., Santos, L. D., Berveglieri, A., Oliveira, R. A., & Honkavaara, E. (2018). A Study on the Variations of Inner Orientation Parameters of a Hyperspectral Frame Camera. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Tags: inner orientation, feature extraction, calibration - Oliveira, R. A., Khoramshahi, E., Suomalainen, J., Hakala, T., Viljanen, N., & Honkavaara, E. (2018). Real-Time and Post-Processed Georeferencing for Hyperspectral Drone Remote Sensing. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42(2).
Tags: georeferencing, real-time, post-processed
- Näsi, R., Viljanen, N., Kaivosoja, J., Alhonoja, K., Hakala, T., Markelin, L., & Honkavaara, E. (2018). Estimating biomass and nitrogen amount of barley and grass using UAV and aircraft based spectral and photogrammetric 3D features. Remote Sensing, 10(7), 1082.
Tags: nitrogen, barley, UAV - Aasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. J. (2018). Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows. Remote Sensing, 10(7), 1091.
Tags: sensor technology, measurement procedures, data correction workflow - Kern, J., Schenk, A., & Hinz, S. (2018, September). Radiometric Calibration of a UAV-Mounted Hyperspectral Snapshot Camera with Focus on Uniform Spectral Sampling. In 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1-5). IEEE.
Tags: radiometric calibration, spectral sampling, ASD FieldSpec4 - Deng, L., Yan, Y., Gong, H., Duan, F., & Zhong, R. (2018). The effect of spatial resolution on radiometric and geometric performances of a UAV-mounted hyperspectral 2D imager. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 298-314.
Tags: radometric performance, UAV, spectral - Glock, K., Meyer, A., Bernsdorf, B., & Woditsch, S. Micro Rapid Mapping: Automatic UAV-based Remote Sensing for Chemical Emergencies. GI_Forum 2018,, 6, 90-104.
Tags: Chemical emergencies, UAV, spectral, chemical micro mapping
- Honkavaara, E., Rosnell, T., Oliveira, R., & Tommaselli, A. (2017). Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes. ISPRS Journal of Photogrammetry and Remote Sensing, 134, 96-109.
Tags: geometric, calibration, registration - Blommaert, J., Delaure, B., Lievens, S., Nuyts, D., Tack, K., Lambrechts, A., … & Caubo, M. (2017). CHIEM: A new compact camera for hyperspectral imaging. Link.
Tags: small satellite, tunable filter, snapshot
- Yang, G., Li, C., Wang, Y., Yuan, H., Feng, H., Xu, B., & Yang, X. (2017). The DOM generation and precise radiometric calibration of a UAV-mounted miniature snapshot hyperspectral imager. Remote Sensing, 9(7), 642.
Tags: radiometric response variation (RRV), radiometric calibration, DOM
- Ding, M., PWT, Y., Piper, J., Soori, U., Selvagumar, S., Gunes, M., & Zahidi, U. (2016): Enhanced CASSI Snapshot Imager Using Dual Prism Dispersion. Link.
Tags: design, dispersion, snapshot, camera - Lausch, A., Bannehr, L., Beckmann, M., Boehm, C., Feilhauer, H., Hacker, J. M.,Heurich, M., Jung, A. … & Pause, M. (2016). Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecological Indicators, 70, 317-339
Tags: biodiversity, ecosystem, spectral traits (ST), spectral trait variations (STV) - Honkavaara, E., Eskelinen, M. A., Pölönen, I., Saari, H., Ojanen, H., Mannila, R., … & Viljanen, N. (2016). Remote sensing of 3-D geometry and surface moisture of a peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard a small unmanned airborne vehicle (UAV). IEEE Transactions on Geoscience and Remote Sensing, 54(9), 5440-5454.
Tags: 3D, UAV, Geometry - Fossi, A. P., Ferrec, Y., Coudrain, C., Roux, N., Kling, E., & Guérineau, N. (2016, May). Compact hyperspectral camera in the mid-infrared for small UAVs. In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII (Vol. 9840, p. 98401T). International Society for Optics and Photonics.
Tags: UAV, infrared, Optics
- Cui, J., Zhang, S., Zhang, J., Liu, X., Ding, R., & Liu, H. (2016). Determining surface magnetic susceptibility of loess-paleosol sections based on spectral features: Application to a UHD 185 hyperspectral image. International journal of applied earth observation and geoinformation, 50, 159-169.
Tags: Magnetic susceptibility (MS), pedogenic activity, loess-paleosol section - Brachmann, J. F., Baumgartner, A., & Lenhard, K. (2016, October). Calibration procedures for imaging spectrometers: improving data quality from satellite missions to UAV campaigns. In Sensors, Systems, and Next-Generation Satellites XX (Vol. 10000, p. 1000010). International Society for Optics and Photonics.
Tags: calibration, EnMap, UAV - Sima, A. A., Baeck, P., Nuyts, D., Delalieux, S., Livens, S., Blommaert, J., … & Boonen, M. (2016). Compact hyperspectral imaging system (COSI) for small remotely piloted aircraft systems (RPAS)–system overview and first performance evaluation results. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 1157.
Tags: UAV, calibration, systems - Aasen, H. (2016). Influence of the Viewing Geometry within Hyperspectral Images Retrieved from UAV Snapshot Cameras. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 3(7).
Tags: UAV, viewing geometry, snapshot
- Demirkesen, C., & Leloğlu, U. M. (2015, October). Estimation of noise model parameters for images taken by a full-frame hyperspectral camera. In Image and Signal Processing for Remote Sensing XXI (Vol. 9643, p. 96430G). International Society for Optics and Photonics.
Tags: noise model, noise estimation, radiometric calibration
- Michels (Heine), R., Liebsch, S., Graser, R. (2014): Snapshot-Hyperspektroskopie. Photonik, 01/2014, S. 36–38.
Tags: snapshot, video spectroscopy, UAV
- Zhang, H., Zhang, B., Wei, Z., Wang, C., & Huang, Q. (2020). Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System. Remote Sensing, 12(4), 657.
Video Spectroscopy
- Matthew Dale (2020): Spectral Snapping. Imaging and Machine Vision Europe.
Tags: pushbroom alternatives, video spectroscopy, food, agriculture - Chen, L., Dong, C., Chen, D., Li, H., Zhao, Y., Cao, X., & Ma, Z. (2017, October). Mobile Multispectral Video Streaming. In Proceedings of the on Thematic Workshops of ACM Multimedia 2017 (pp. 126-134).
Tags: video spectroscopy, spectral streaming, mobility
- van Rees, E. (2014). Cubert Gmbh. GeoInformatics, 17(1), 28.
Tags: real-time, UAV, video
- Matthew Dale (2020): Spectral Snapping. Imaging and Machine Vision Europe.
Military
- Racek, F., Baláž, T., & Melša, P. (2019, May). Spectral Characterization of Natural Background in Virtue of Reconnaissance Possibilities. In 2019 International Conference on Military Technologies (ICMT) (pp. 1-8). IEEE.
Tag: Reconnaissance, military, NATO, spectral
- Bajic, M., Ivelja, T., & Brook, A. (2017). Developing a Hyperspectral Non-Technical Survey for Minefields via UAV and Helicopter. J. Conv. Weapons Destr, 21(11).
Tags: weapon detection, minefields, ordnance
- Racek, F., Baláž, T., & Melša, P. (2019, May). Spectral Characterization of Natural Background in Virtue of Reconnaissance Possibilities. In 2019 International Conference on Military Technologies (ICMT) (pp. 1-8). IEEE.
Cultural Heritage & Archeology
- Jung, A. (2018). Hyperspectral Imaging. Digital Techniques for Documenting and Preserving Cultural Heritage, 217. In: Bentkowska-Kafel, A., & MacDonald, L. (Eds.). (2018). Digital techniques for documenting and preserving cultural heritage. ISD LLC.
Tags: cultural heritage, archeology, spectroscopy
- Jung, A. (2018). Hyperspectral Imaging. Digital Techniques for Documenting and Preserving Cultural Heritage, 217. In: Bentkowska-Kafel, A., & MacDonald, L. (Eds.). (2018). Digital techniques for documenting and preserving cultural heritage. ISD LLC.