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Spectral variability in hyperspectral data unmixing: A comprehensive review
The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
Influence of atmospheric modeling on spectral target detection through forward modeling approach in multi-platform remote sensing data
Identifying objects or pixels of interest that are few in numbers and sparsely populated in
imagery is referred to as target detection. Traditionally, the inverse modeling (IM) approach …
imagery is referred to as target detection. Traditionally, the inverse modeling (IM) approach …
The potential for Landsat-based bathymetry in Canada
Accurate bathymetric information is fundamental to safe maritime navigation and
infrastructure development in the coastal zone, but it is expensive to acquire with traditional …
infrastructure development in the coastal zone, but it is expensive to acquire with traditional …
Multi-temporal RapidEye Tasselled Cap data for land cover classification
Land cover map** can be seen as a key element to understand the spatial distribution of
habitats and thus to sustainable management of natural resources. Multi-temporal remote …
habitats and thus to sustainable management of natural resources. Multi-temporal remote …
Evaluation of multi-temporal and multi-sensor atmospheric correction strategies for land-cover accounting and monitoring in Ireland
Accurate atmospheric correction is an important preprocessing step for studies of multi-
temporal land-cover map** using optical satellite data. Model-based surface reflectance …
temporal land-cover map** using optical satellite data. Model-based surface reflectance …
Pre-processing of remotely sensed imagery
P Bunting - The Roles of Remote Sensing in Nature Conservation …, 2017 - Springer
A common obstacle to the use of remote sensing data for nature conservation is the difficulty
in obtaining or generating data that are pre-processed to a standard that gives confidence in …
in obtaining or generating data that are pre-processed to a standard that gives confidence in …
Spectral variability in hyperspectral unmixing: Multiscale, tensor, and neural network-based approaches
RA Borsoi - 2021 - theses.hal.science
The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
[PERNYATAAN][C] Introduction to ARCSI for generating Analysis Ready Data (ARD)
P Bunting - 2017 - ACSEM/Aberystwyth University …