Modified N-FINDR endmember extraction algorithm for remote-sensing imagery-Reference-Cited by-同舟云学术

Modified N-FINDR endmember extraction algorithm for remote-sensing imagery

Published:2015-04-18 Issue:8 Volume:36 Page:2148-2162
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ji Luyan¹,Geng Xiurui²,Sun Kang²,Zhao Yongchao²,Gong Peng¹³⁴

Affiliation:

1. Ministry of Education Key Laboratory for Earth System Modelling, Centre for Earth System Science, Tsinghua University, Beijing 100084, China

2. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

3. Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720-3114, USA

4. Joint Centre for Global Change Studies, Beijing 100875, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1034895

Reference29 articles.

1. Hyperspectral Data Geometry-Based Estimation of Number of Endmembers Using p-Norm-Based Pure Pixel Identification Algorithm

2. ICE: a statistical approach to identifying endmembers in hyperspectral images

3. Estimation of Number of Spectrally Distinct Signal Sources in Hyperspectral Imagery

4. A New Growing Method for Simplex-Based Endmember Extraction Algorithm

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