Visualization and unsupervised classification of changes in multispectral satellite imagery-Reference-Cited by-同舟云学术

Visualization and unsupervised classification of changes in multispectral satellite imagery

Published:2006-09 Issue:18 Volume:27 Page:3961-3975
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Canty Morton J.¹,Nielsen Allan A.²

Affiliation:

1. a Forschungszentrum Jülich , D‐52425 Jülich, Germany

2. b Technical University of Denmark , DK‐2800 Kgs. Lyngby, Denmark

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160500222608

Reference13 articles.

1. Bruzzone , L. and Prieto , D. F. 2002. “An adaptive semi‐parametric and context‐based approach to unsupervised change detection in multitemporal remote sensing images.”. Technical Report No. DIT‐02‐0030, Department of Information and Communication Technology, University of Trento

2. Unsupervised classification of satellite imagery: Choosing a good algorithm

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