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

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

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...

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Bibliographic Details
Main Authors: Kun Tan, Zengfu Hou, Donglei Ma, Yu Chen, Qian Du
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
anomaly detection
hyperspectral
low-rank representation
local window
spatial constraint
Online Access:https://www.mdpi.com/2072-4292/11/13/1578

Internet

https://www.mdpi.com/2072-4292/11/13/1578

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