Hyperspectral anomaly detection based on the distinguishing features of a redundant difference-value network

Li, XY; Zhao, CH; Yang, YJ

Zhao, CH (corresponding author), Harbin Engn Univ, 145 Nantong St, Harbin 150001, Heilongjiang, Peoples R China.

INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021; 42 (14): 5459

Abstract

Hyperspectral anomaly detection is a key technique of unsupervised target detection. In the hyperspectral anomaly detection based on spectral dimensio......

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