Reweighted mass center based object-oriented sparse subspace clustering for hyperspectral images-Reference-Cited by-同舟云学术

Reweighted mass center based object-oriented sparse subspace clustering for hyperspectral images

Published:2016-11-23 Issue:4 Volume:10 Page:046014
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Zhai Han¹,Zhang Hongyan²,Zhang Liangpei²,Li Pingxiang²

Affiliation:

1. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, China

2. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, ChinabWuhan University, Collaborative Innovation Center for Geospatial Technology, No. 129 Luoyu Road, Wuhan 430079, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference63 articles.

1. An Adaptive Artificial Immune Network for Supervised Classification of Multi-/Hyperspectral Remote Sensing Imagery

2. Classification of hyperspectral remote sensing imagery by k-nearest-neighbor simplex based on adaptive C-mutual proportion standard deviation metric

3. Hyperspectral data classification improved by minimum spanning forests

4. Classification of hyperspectral remote-sensing images based on sparse manifold learning

5. Comparison of EO-1 Hyperion and airborne hyperspectral remote sensing data for geologic applications

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