Endmember search and proportion estimates from airborne hyperspectral surveys-Reference-Cited by-同舟云学术

Endmember search and proportion estimates from airborne hyperspectral surveys

Published:2017-10-16 Issue:2 Volume:39 Page:525-543
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Traylen Anthony¹,Caccetta Peter¹,Guo Yi²,Berman Mark¹²,Lau Ian C³

Affiliation:

1. Data61, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia

2. School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia

3. Commonwealth Scientific and Industrial Research Organisation, Mineral Resources, Perth, Australia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1385107

Reference26 articles.

1. A New Algorithm for Robust Estimation of the Signal Subspace in Hyperspectral Images in the Presence of Rare Signal Components

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

3. Berman, M., T. Traylen, and P. Caccetta. 2009. “Towards Seamless Hyperspectral Mapping and Monitoring on a Continental Scale.” Paper presented at the International Statistical Institute (ISI) Invited Paper Meetings 31, Durban, 16–22 August.

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