Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint

Zengfu Hou
Zengfu Hou
Donglei Ma
Donglei Ma
Yu Chen
Yu Chen

REMOTE SENSING, pp. 15782019.

Cited by: 0|Views8
EI

Abstract:

Hyperspectral imagery contains abundant spectral information. Each band contains some specific characteristics closely related to target objects. Therefore, using these characteristics, hyperspectral imagery can be used for anomaly detection. Recently, with the development of compressed sensing, low-rank-representation-based methods have ...More

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