Rapports des travaux scientifiques en imagerie hyperspectrale

On retrouve plus de 100 publications de recherches ou de papiers industriels sur les caméras vidéos hyperspectrales de Cubert. Ces publications traitent de l’avancé scientifiques possibles dans des domaines aussi variés que l’agriculture, l’agroalimentaire, drone/UAV, l’étude forestière, la spectroscopie de l’eau ou l’océanographie, la médecine, la géologie, l’archéologie….

Retrouvez ci-dessous l’ensemble de ces publications par catégorie

Agriculture et Agroalimentaire

  • 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

Etude Végétation – Foret

  • 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

Spectroscopie de l’eau et Océanographie

  • 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


  • Spigulis, J. (2017). Multispectral, fluorescent and photoplethysmographic imaging for remote skin assessment. Sensors, 17(5), 1165.
    Tags: skin assessment, video, multispectral

Exploitation minière et Géologie

  • 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

Drone, UAV, 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
  • 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


  • 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

Culture , Archéologie

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

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