Combining random forest and support vector machines for object-based rural-land-cover classification using high spatial resolution imagery
Author:
Affiliation:
1. Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing
2. Tsinghua University, Department of Automation, Beijing
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference78 articles.
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