Hyperspectral band selection based on parallel particle swarm optimization and impurity function band prioritization schemes-Reference-Cited by-同舟云学术

Hyperspectral band selection based on parallel particle swarm optimization and impurity function band prioritization schemes

Published:2014-08-13 Issue:1 Volume:8 Page:084798
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Chang Yang-Lang¹,Liu Jin-Nan¹,Chen Yen-Lin²,Chang Wen-Yen³,Hsieh Tung-Ju²,Huang Bormin⁴

Affiliation:

1. National Taipei University of Technology, Department of Electrical Engineering, No. 1, Sec. 3, Chung-Hsiao E. Road, Taipei, Taiwan 10608

2. National Taipei University of Technology, Department of Computer Science and Information Engineering, No. 1, Sec. 3, Chung-Hsiao E. Road, Taipei, Taiwan 10608

3. National Dong Hwa University, Department of Natural Resources and Environmental Studies, No. 1, Sec. 2, Da Hsueh Road, Shoufeng, Hualien, Taiwan 97401

4. University of Wisconsin-Madison, Cooperative Institute for Meteorological Satellite, Studies Space Science and Engineering Center, Madison, Wisconsin 53706

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference28 articles.

1. Visual Method for Spectral Band Selection

2. Band Selection Based on Feature Weighting for Classification of Hyperspectral Data

3. A Band Selection Technique for Spectral Classification

4. Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries

5. Greedy modular eigenspaces and positive Boolean function for supervised hyperspectral image classification

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