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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiguang Dai Weidong Song Liang Pei Jichao Zhang |
| Copyright Year | 2010 |
| Description | Author affiliation: School Of Geomatics, LiaoNing Technical University, Fuxin, China (Jiguang Dai; Weidong Song; Liang Pei; Jichao Zhang) |
| Abstract | Image matching is a fundamental task in the analysis of the remote sensing data. The precision of the image matching have played an important role in the application of remote sensing images, such as three-dimensional modeling, pattern reorganization, panoramic reconstruction, super resolution, phasic analysis, etc. At present, the development of image matching technology and later use in China and abroad is mainly focused on the robust key point, which means that the extracted feature should been invariant to the translation, scale and rotation etc. In recent years, the sift algorithm has been the most popular for extracting interest points. But the calculation procedure is too slow. In this paper, our approach starts with a matching algorithm that combine Harris detector together with sift descriptor method. Our approaches start with the procedure of counting Harris method on the remote sensing image and discard the key point with low contrast. Moreover, we perform an accurate key point location. At last, we use SIFT descriptor as a feature to perform matching from the descriptor point vector in the reference image to the sets of point vector in the querying image. |
| Starting Page | 2221 |
| Ending Page | 2224 |
| File Size | 707101 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424465132 |
| e-ISBN | 9781424465163 |
| DOI | 10.1109/CISP.2010.5647782 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | SIFT discriptor Image matching Harris detector Signal processing algorithms Detectors Feature extraction Robustness image matching Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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