المؤلفون: Marius Vogtli, Daniel Schlapfer, Meredith C. Schuman, Michael E. Schaepman, Mathias Kneubuhler, Alexander Damm

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 109-126 (2024)

مصطلحات موضوعية: Atmospheric correction, bidirectional reflectance distribution function (BRDF) correction, imaging spectroscopy, reflectance variability, spectral index, surface anisotropy, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10288043/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/737dd6b2297841f98dca73459b364457

المؤلفون: Maria Kremezi, Vassilia Karathanassi

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4809-4815 (2020)

مصطلحات موضوعية: Bidirectional reflectance distribution function (BRDF) correction, chlorophyll-a (Chl-a), data fusion, marine monitoring, sentinel, spectral unmixing, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9171412/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/5c796763107246dba6ff36bb57a24dd4

المؤلفون: Sagan, Vasit, Maimaitijiang, Maitiniyazi, Paheding, Sidike, Bhadra, Sourav, Gosselin, Nichole, Burnette, Max, Demieville, Jeffrey, Hartling, Sean, LeBauer, David S., Newcomb, Maria, Pauli, Duke, Peterson, Kyle T., Shakoor, Nadia, Stylianou, Abby, Zender, Charles S., Mockler, Todd C.

المساهمون: School of Plant Sciences, University of Arizona, Arizona Experiment Station, University of Arizona

مصطلحات موضوعية: Artificial intelligence, Atmospheric measurements, Bidirectional reflectance distribution function (BRDF) correction, Calibration, Cameras, high-throughput phenotyping, Hyperspectral imaging, image quality assessment, Radiometry, shadow compensation, soil removal

Relation: Sagan, V., Maimaitijiang, M., Paheding, S., Bhadra, S., Gosselin, N., Burnette, M., Demieville, J., Hartling, S., LeBauer, D., Newcomb, M., Pauli, D., Peterson, K. T., Shakoor, N., Stylianou, A., Zender, C. S., & Mockler, T. C. (2021). Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Transactions on Geoscience and Remote Sensing.; http://hdl.handle.net/10150/661107; IEEE Transactions on Geoscience and Remote Sensing

الاتاحة: http://hdl.handle.net/10150/661107
https://doi.org/10.1109/TGRS.2021.3091409

المؤلفون: Vassilia Karathanassi, Maria Kremezi

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4809-4815 (2020)

مصطلحات موضوعية: Atmospheric Science, 3D optical data storage, data fusion, Correlation coefficient, Relation (database), Computer science, QC801-809, chlorophyll-a (Chl-a), Geophysics. Cosmic physics, Time lag, Sensor fusion, marine monitoring, Total suspended matter, Ocean engineering, Thematic map, spectral unmixing, Computers in Earth Sciences, sentinel, Image resolution, TC1501-1800, Bidirectional reflectance distribution function (BRDF) correction, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f5fd77d7e85231f2ef41e24972dc06
https://ieeexplore.ieee.org/document/9171412/