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Proceedings Paper

A framework for farmland parcels extraction based on image classification
Author(s): Guoying Liu; Wenying Ge; Xu Song; Hongdan Zhao
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Paper Abstract

It is very important for the government to build an accurate national basic cultivated land database. In this work, farmland parcels extraction is one of the basic steps. However, during the past years, people had to spend much time on determining an area is a farmland parcel or not, since they were bounded to understand remote sensing images only from the mere visual interpretation. In order to overcome this problem, in this study, a method was proposed to extract farmland parcels by means of image classification. In the proposed method, farmland areas and ridge areas of the classification map are semantically processed independently and the results are fused together to form the final results of farmland parcels. Experiments on high spatial remote sensing images have shown the effectiveness of the proposed method.

Paper Details

Date Published: 8 March 2018
PDF: 6 pages
Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 1060909 (8 March 2018); doi: 10.1117/12.2282933
Show Author Affiliations
Guoying Liu, Anyang Normal Univ. (China)
Wenying Ge, Anyang Normal Univ. (China)
Xu Song, Anyang Normal Univ. (China)
Hongdan Zhao, Anyang Normal Univ. (China)


Published in SPIE Proceedings Vol. 10609:
MIPPR 2017: Pattern Recognition and Computer Vision
Zhiguo Cao; Yuehuang Wang; Chao Cai, Editor(s)

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