Deep Constrained Energy Minimization for Hyperspectral Target Detection

Hyperspectral images contain abundant spectral information, which provides great potential for detecting targets that cannot be analyzed with color images. However, a variety of factors, including inherent spectral variability and noise, make it difficult for traditional detectors to separate the ta...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Deep constrained energy minimization (CEM) hyperspectral target detection multiple priori target spectra nonlinear spectral variability
Online Access:	https://ieeexplore.ieee.org/document/9881882/