Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting

Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting

Anomaly detection (AD), which aims to distinguish targets with significant spectral differences from the background, has become an important topic in hyperspectral imagery (HSI) processing. In this paper, a novel anomaly detection algorithm via dictionary construction-based low-rank representation (...

Full description

Bibliographic Details
Main Authors: Yixin Yang, Jianqi Zhang, Shangzhen Song, Delian Liu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Remote Sensing
Subjects:
anomaly detection
hyperspectral imagery
low-rank representation
dictionary construction
HSI reconstruction
sparse coding
adaptive weighting
Online Access:http://www.mdpi.com/2072-4292/11/2/192

Internet

http://www.mdpi.com/2072-4292/11/2/192

Similar Items