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...
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: | |
Online Access: | http://html.rhhz.net/CHXB/html/2016-8-973.htm |
Similar Items
-
Feature Extraction of Images Texture Based on Co-occurrence Matrix
by: Hadia S. Abd allah, et al.
Published: (2019-05-01) -
Classification of Sambas Traditional Fabric “Kain Lunggi” Using Texture Feature
by: Alda Cendekia Siregar, et al.
Published: (2019-10-01) -
Classification Models for Skin Tumor Detection Using Texture Analysis in Medical Images
by: Marcos A. M. Almeida, et al.
Published: (2020-06-01) -
Large Cardinals
by: Pechenik, Oliver
Published: (2010) -
WEAKLY REMARKABLE CARDINALS, ERDAOS CARDINALS, and the GENERIC VOPĚNKA PRINCIPLE
by: Wilson, T.M
Published: (2019)