Iterative Spectral–Spatial Hyperspectral Anomaly Detection-Reference-Cited by-同舟云学术

Iterative Spectral–Spatial Hyperspectral Anomaly Detection

Published:2023 Issue: Volume:61 Page:1-30
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chang Chein-I¹^ORCID,Lin Chien-Yu¹,Chung Pau-Choo²^ORCID,Hu Peter Fuming³

Affiliation:

1. Department of Computer Science and Electrical Engineering, Remote Sensing Signal and Image Processing Laboratory, University of Maryland, Baltimore, MD, USA

2. Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan

3. R. A. Cowley Shock Trauma Center, Shock Trauma Anesthesia Organized Research Center, University of Maryland School of Medicine, Baltimore, MD, USA

Funder

National Science and Technology Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10049554.pdf?arnumber=10049554

Reference62 articles.

1. Constrained Energy Minimization Anomaly Detection for Hyperspectral Imagery via Dummy Variable Trick

2. LRSLibrary: Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

3. Hyperspectral Anomaly Detection: A Dual Theory of Hyperspectral Target Detection

4. Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset

5. Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images

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