Classification of Land-use Based on Remote Sensing Image Texture Features with Multi-scales and Cardinal Direction Inspired by Domain Knowledge

Classification of Land-use Based on Remote Sensing Image Texture Features with Multi-scales and Cardinal Direction Inspired by Domain Knowledge

Texture features based on grey level co-occurrence matrix (GLCM) are effective for image analysis, and this paper proposed a new method to construct GLCM with multi-scales and cardinal direction factors inspired by domain knowledge, in order to improve the performance of texture features and solve t...

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Bibliographic Details
Main Authors: LAN Zeying, LIU Yang
Format: Article
Language:zho
Published: Surveying and Mapping Press 2016-08-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
GLCM texture image classification
multi-scale windows
weighted cardinal direction
integrated computing
GIS spatial data mining
Online Access:http://html.rhhz.net/CHXB/html/2016-8-973.htm

Internet

http://html.rhhz.net/CHXB/html/2016-8-973.htm

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