Paper
9 December 2015 An object-oriented extraction method of arable land information based on a combination of watershed and multi-scale
Jingwen Li, Nan Lv, Song Zhou, Wenqing Li, Weili Guo
Author Affiliations +
Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98082X (2015) https://doi.org/10.1117/12.2206190
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
Abstract
Based on analyzing the multi-scale segmentation technique of watershed transform, by combining the multiple features of textured images, spectra and shape, an integrated image segmentation method of a combination of watershed and multi-scale can be presented. This article is combined with object-oriented technology, and applied it to extracting the information of arable land in Guangxi. The paper aims to establish classification system to solve the problem of extracting feature information by extracting the feature or feature combination of the class. The experimental result showed that the object-oriented extraction method of arable land information based on a combination of watershed and multi-scale could be better to realize extract and apply the information of high resolution remote sensing image.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingwen Li, Nan Lv, Song Zhou, Wenqing Li, and Weili Guo "An object-oriented extraction method of arable land information based on a combination of watershed and multi-scale", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98082X (9 December 2015); https://doi.org/10.1117/12.2206190
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Image classification

Image processing

Classification systems

Feature extraction

Fuzzy logic

Roads

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