Hyperspectral data clustering based on density analysis ensemble-Reference-Cited by-同舟云学术

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Hyperspectral data clustering based on density analysis ensemble

Published:2016-11-02 Issue:2 Volume:8 Page:194-203
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Chen Yushi¹,Ma Shunli¹,Chen Xi¹,Ghamisi Pedram²³

Affiliation:

1. Department of Information Engineering, Harbin Institute of Technology, Harbin, China

2. German Aerospace Centre (DLR), Remote Sensing Technology Institute (IMF), Weßling, Germany

3. Signal Processing in Earth Observation, Technische Universität München, Munich, Germany

Funder

National Natural Science Foundation of China

scholarship from China Scholarship Council

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2016.1249295

Reference19 articles.

1. “Good” and “Bad” Diversity in Majority Vote Ensembles

2. Phase‐correlation‐based hyperspectral image classification using multiple class representatives obtained with k‐means clustering

3. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

4. Thematic Map Comparison

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