A Sliding Window-Based Joint Sparse Representation (SWJSR) Method for Hyperspectral Anomaly Detection

A Sliding Window-Based Joint Sparse Representation (SWJSR) Method for Hyperspectral Anomaly Detection

In this paper, a new sliding window-based joint sparse representation (SWJSR) anomaly detector for hyperspectral data is proposed. The main contribution of this paper is to improve the judgments about the probability of anomaly presence in signals using the integration of information gathered during...

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Bibliographic Details
Main Authors: Seyyed Reza Soofbaf, Mahmod Reza Sahebi, Barat Mojaradi
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
hyperspectral
anomaly detection
sparse coding
KSVD
sliding window
Online Access:http://www.mdpi.com/2072-4292/10/3/434

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