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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuanyuan Li Qingsheng Liu Gaohuan Liu Chong Huang |
| Copyright Year | 2013 |
| Description | Author affiliation: Southwest Forestry Univ., Kunming, China (Yuanyuan Li) || LREIS, IGSNRR, Beijing, China (Qingsheng Liu; Gaohuan Liu; Chong Huang) |
| Abstract | Recently some types of quasi-circular patchy vegetations have been found and proved by the high spatial resolution satellite remote sensing images and field investigations in the Yellow River Delta. In order to promote the monitoring of vegetation community patch extension and quantify the mechanism of vegetation community patch succession, there is a clear need for accurately and economically detecting the vegetation community patches. The main objective of this paper is to detect the quasi-circular vegetation community patches from the different spatial resolution images of the first civilian high resolution optical stereo mapping satellite of China (ZY-3). The results show that the front-facing, rear-facing, ground-facing panchromatic and multispectral images are effective and sufficient to detect the quasi-circular vegetation patches based on Circular Hough Transform (CHT), and the higher spatial resolution image had potential to provide the higher detection accuracy for the quasi-circular vegetation patches. |
| Sponsorship | IEEE Eng.Med. Biol. Soc. |
| Starting Page | 824 |
| Ending Page | 829 |
| File Size | 1570192 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479927647 |
| DOI | 10.1109/CISP.2013.6745279 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accuracy Satellites Communities Vegetation mapping Yellow River Delta ZY-3 images circular hough transform Rivers Spatial resolution Remote sensing vegetation community patch |
| Content Type | Text |
| Resource Type | Article |
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