| EDGE DETECTION METHOD OF REMOTE SENSING IMAGES BASED ON MATHEMATICAL MORPHOLOGY OF MULTI-STRUCTURE ELEMENTS |
| |
| 作者姓名： | LINHui DUPei-jun ZHAOChang-sheng SHUNing |
| |
| 作者单位： | [1]DepartmentofTerritoryResourceInformationandSurveyingEngineering,XuzhouNormalUniversity,Xuzhou221116,P.R.China [2]DepartmentofRSandGIS,ChinaUniversityofMiningandTechnology,Xuzhou221008,P.R.China [3]SchoolofRemoteSensingandInformationEngineering,WuhanUniversity,Wuhan430079,P.R.China |
| |
| 基金项目： | Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 49971055 |
| |
| 摘 要： | This paper puts forward an effective, specific algorithm for edge detection. Based on multi-structure elements of gray mathematics morphology, in the light of difference between noise and edge shape of RS images, the paper establishes multi-structure elements to detect edge by utilizing the grey form transformation principle. Compared with some classical edge detection operators, such as Sobel Edge Detection Operator, LOG Edge Detection Operator, and Canny Edge Detection Operator, the experiment indicates that this new algorithm possesses very good edge detection ability, which can detect edges more effectively, but its noise-resisting ability is relatively low. Because of the bigger noise of remote sensing image, the authors probe into putting forward other edge detection method based on combination of wavelet directivity checkout technology and small-scale Mathematical Morphology finally. So, position at the edge can be accurately located, the noise can be inhibited to a certain extent and the effect of edge detection is obvious.
|
| 关 键 词： | 电子数据采集设备 遥感 边缘方向 灰色数学 |
| 收稿时间： | 12 November 2003 |
Edge detection method of remote sensing images based on mathematical morphology of multi-structure elements |
| |
| LINHui DUPei-jun ZHAOChang-sheng SHUNing.EDGE DETECTION METHOD OF REMOTE SENSING IMAGES BASED ON MATHEMATICAL MORPHOLOGY OF MULTI-STRUCTURE ELEMENTS[J].Chinese Geographical Science,2004,14(3):263-268. |
| |
| Authors: | Lin Hui Du Pei-jun Zhao Chang-sheng Shu Ning |
| |
| Institution: | (1) Department of Territory Resource Information and Surveying Engineering, Xuzhou Normal University, 221116 Xuzhou, P. R. China;(2) Department of RS and GIS, China University of Mining and Technology, 221008 Xuzhou, P. R. China;(3) School of Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, P. R. China |
| |
| Abstract: | This paper puts forward an effective, specific algorithm for edge detection. Based on multi-structure elements of gray mathematics morphology, in the light of difference between noise and edge shape of RS images, the paper establishes multi-structure elements to detect edge by utilizing the grey form transformation principle. Compared with some classical edge detection operators,such as Sobel Edge Detection Operator, LOG Edge Detection Operator, and Canny Edge Detection Operator, the experiment indicates that this new algorithm possesses very good edge detection ability, which can detect edges more effectively, but its noise-resisting ability is relatively low. Because of the bigger noise of remote sensing image, the authors probe into putting forward other edge detection method based on combination of wavelet directivity checkout technology and small-scale Mathematical Morphology finally. So, position at the edge can be accurately located, the noise can be inhibited to a certain extent and the effect of edge detection is obvious. |
| |
| Keywords: | Mathematical Morphology multi-spectral RS image edge detection multi-structure elements wavelet transformation |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
|
