Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.4028/www.scientific.net/AMR.268-270.1332 |
Remote Sensing Image Segmentation of Ulan Buh Desert Based on Mathematical Morphology | |
Li, Fengri; Wang, Hezhi; Jia, Weiwei; Liu, Zhaogang | |
通讯作者 | Jia, Weiwei |
会议名称 | International Conference on Computational Materials Science (CMS 2011) |
会议日期 | APR 17-18, 2011 |
会议地点 | Guangzhou, PEOPLES R CHINA |
英文摘要 | As the basis of 1:10000 color aerial remote sensing image of Ulan Buh Desert, Inner Mongolia, this paper studies on white thorn which is a typical representative of the nature of scarcity and mass organizations like the vegetation in the desert region. By using mathematical morphology theory and the Matlab 7.0 software, the white thorn will be conducted from the remote sensing image segmentation. Comparing the conducted image with the outer shape of the industry survey results, the accuracy of segmentation could be verified by the gray-level co-occurrence matrix comparisons. This research provides the technical reference for the large sample survey of desert region by remote sensing image segmentation. |
英文关键词 | Mathematical morphology Image segmentation Remote-sensing images White thorn Ulan Buh Desert |
来源出版物 | COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3 |
ISSN | 1022-6680 |
出版年 | 2011 |
卷号 | 268-270 |
页码 | 1332-1338 |
ISBN | 978-3-03785-155-5 |
出版者 | TRANS TECH PUBLICATIONS LTD |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000303850200251 |
WOS关键词 | ADAPTIVE SEGMENTATION |
WOS类目 | Engineering, Manufacturing ; Engineering, Mechanical ; Materials Science, Multidisciplinary |
WOS研究方向 | Engineering ; Materials Science |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/300170 |
作者单位 | NE Forestry Univ, Sch Forestry, Harbin, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Fengri,Wang, Hezhi,Jia, Weiwei,et al. Remote Sensing Image Segmentation of Ulan Buh Desert Based on Mathematical Morphology[C]:TRANS TECH PUBLICATIONS LTD,2011:1332-1338. |
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