A Parallel Algorithm for Hyperspectral Target Detection Based on Weighted Alternating Direction Method of Multiplier
Author:
Affiliation:
1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
2. Nanjing Research Institute of Electronics Engineering (NRIEE), Nanjing, China
Funder
National Natural Science Foundation of China
Jiangsu Provincial Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Key Projects of University Natural Science Fund of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10241974.pdf?arnumber=10241974
Reference50 articles.
1. Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis
2. Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images
3. Mapping the distribution of mine tailings in the Coeur d'Alene River Valley, Idaho, through the use of a constrained energy minimization technique
4. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach
5. An Automatic Approach to Adaptive Local Background Estimation and Suppression in Hyperspectral Target Detection
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