The extraction of plantation with texture feature in high resolution remote sensing image

被引：0
|
作者：
Chen, Gong [1 ]
Liang, Shouzhen [2 ]
Chen, Jingsong [2 ]
机构：
[1] Univ Chinese Acad Sci, Beijing, Peoples R China
[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
来源：
2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014) | 2014年
关键词：
texture feature; segmentation scale; optimal scale;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Remote sensing technology is widely used in land cover survey. In this experiment, firstly VSVI (vegetation sample-based vegetation index) method is used to extract the forests in experiment area, and then adding texture feature to distinguish the natural forest and plantation in forests class. Then average contrast of objects (ACO) method is used to determine the best scale of chessboard segmentation when classify, and classification accuracy of different scales is compared. It is proved that the optimal segmentation scale through ACO and the best classification results have certain consistency, and achieved high classification accuracy.
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页数：4
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