The Comparison of Different Methods of Texture Analysis for Their Efficacy for Land Use Classification in Satellite Imagery
The paper presents a comparison of the efficacy of several texture analysis methods as tools for improving land use/cover classification in satellite imagery. The tested methods were: gray level co-occurrence matrix (GLCM) features, Laplace filters and granulometric analysis, based on mathematical m...
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Format: | Article |
Language: | English |
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MDPI AG
2019-05-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/11/10/1233 |