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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhang Xu-kai Zhang xia Lan Qiong-qiong Ali Baig, Muhammad Hasan |
| Copyright Year | 2012 |
| Description | Author affiliation: Institute of remote sensing application, Chinese Academy of Sciences, Beijing, China (Zhang Xu-kai; Zhang xia; Lan Qiong-qiong; Ali Baig, Muhammad Hasan) |
| Abstract | This paper presents a comprehensive and automated approach to detect coastline accurately and efficiently, which integrates MNDWI (Modified Normalized Difference Water Index), Otsu algorithm and canny edge detection. Landsat TM data was employed in Qinhuangdao coastal zone as a case study. First, by analyzing the ground truth data, the coasts in Qinhuangdao were classified into four classes: sandy coast, bedrock coast, artificial coast and muddy coast, and then detection result of coastline was achieved on the basis of these types. Finally, the coastlines detected in September 2006 and September 2011, were compared together. Some changes caused by anthropogenic activities were monitored. The overall accuracy of coastline detection, verified by using GPS data was 92%. |
| Starting Page | 153 |
| Ending Page | 156 |
| File Size | 533338 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467319478 |
| e-ISBN | 9781467319461 |
| DOI | 10.1109/EORSA.2012.6261155 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Earth Satellites Accuracy coastline Image edge detection MNDWI Sea measurements Canny edge detection remote sensing automated detection Remote sensing Global Positioning System |
| Content Type | Text |
| Resource Type | Article |
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