A blind convolutional deep autoencoder for spectral unmixing of hyperspectral images over waterbodies

Harmful algal blooms have dangerous repercussions for biodiversity, the ecosystem, and public health. Automatic identification based on remote sensing hyperspectral image analysis provides a valuable mechanism for extracting the spectral signatures of harmful algal blooms and their respective percen...

詳細記述

書誌詳細

出版年:	Frontiers in Earth Science
主要な著者:	Estefanía Alfaro-Mejía, Vidya Manian, Joseph D. Ortiz, Roger P. Tokars
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2023-10-01
主題:	hyperspectral images spectral unmixing endmembers abundance maps image processing deep learning
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/feart.2023.1229704/full