Unsupervised change detection in VHR remote sensing imagery – an object-based clustering approach in a dynamic urban environment-Reference-Cited by-同舟云学术

Unsupervised change detection in VHR remote sensing imagery – an object-based clustering approach in a dynamic urban environment

Published:2017-02 Issue: Volume:54 Page:15-27
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Leichtle Tobias,Geiß Christian,Wurm Michael^ORCID,Lakes Tobia,Taubenböck Hannes

Funder

German Federal Ministry of Education and Research, BMBF

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference56 articles.

2. A survey of clustering data mining techniques;Berkhin,2006

3. Towards a framework for change detection based on image objects;Blaschke;Göttinger Geographische Abhandlungen,2005

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