Orthogonal Subspace Unmixing to Address Spectral Variability for Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3236471
Abstract: Hyperspectral unmixing aims at estimating pure spectral signatures and their proportions in each pixel. In practice, the atmospheric effects, intrinsic variation of the spectral signatures of the materials, illumination, and topographic changes cause what is… read more here.
Keywords: orthogonal subspace; address spectral; variability; subspace ... See more keywords
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2878958
Abstract: Hyperspectral imagery collected from airborne or satellite sources inevitably suffers from spectral variability, making it difficult for spectral unmixing to accurately estimate abundance maps. The classical unmixing model, the linear mixing model (LMM), generally fails… read more here.
Keywords: spectral variability; linear mixing; address spectral; variability ... See more keywords