Unmixing of hyperspectral data for mineral detection using a hybrid method, Sar Chah-e Shur, Iran
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-06070-7
Abstract: This study aims to detect indicative minerals by spectral unmixing of the Hyperion and HyMap datasets in the Sar Chah-e Shur area. The mineral endmembers and their abundances were therefore determined using a series of… read more here.
Keywords: sar chah; hyperspectral data; method; chah shur ... See more keywords
Hyperspectral Shadow Removal via Nonlinear Unmixing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2987353
Abstract: Removing shadows that are often present in remotely sensed hyperspectral images is important for both enhancing the interpretability of the data and further target analysis. Shadow removal approaches based on spectral unmixing have been proposed… read more here.
Keywords: unmixing hyperspectral; removal; nonlinear unmixing; shadow removal ... See more keywords
Spectral unmixing of hyperspectral images based on block sparse structure
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.17.016510
Abstract: Abstract. Spectral unmixing (SU) of hyperspectral images (HSIs) is one of the important areas in remote sensing (RS) that needs to be carefully addressed in different RS applications. Despite the high spectral resolution of the… read more here.
Keywords: spectral unmixing; block sparse; hyperspectral images; unmixing hyperspectral ... See more keywords
An Overview on Linear Unmixing of Hyperspectral Data
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/3735403
Abstract: Hyperspectral remote sensing technology has a strong capability for ground object detection due to the low spatial resolution of hyperspectral imaging spectrometers. A single pixel that leads to a hyperspectral remote sensing image usually contains… read more here.
Keywords: linear unmixing; overview linear; hyperspectral data; unmixing hyperspectral ... See more keywords