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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weiming Li Xiaoming Li Yihong Wu Zhanyi Hu |
| Copyright Year | 2006 |
| Description | Author affiliation: National Lab. of Pattern Recognition, Chinese Acad. of Sci., Beiiing (Weiming Li) |
| Abstract | We present a novel framework for detecting urban changes from a pair of very high resolution (VHR) satellite images such as those taken by satellite Quickbird-II or IKONOS. Image differences due to variations of imaging conditions such as view angle and illumination are distinguished from significant urban changes in the scene. First, we adopt a new image registration method, which makes several useful geometrical constraints available. Then we find changed line segments over time. After that we match scale invariant feature transform (SIFT) points and generate corresponding regions in order to exclude changed line segments due to parallax. We perform shadow detection to exclude changed line segments due to shadow change. Finally we group the remaining changed line segments into clusters, among which the significant ones form the changed regions as output. Our experiments with real Quickbird-II images show that the proposed method can well detect significant urban changes |
| Sponsorship | IEEE CPS |
| Starting Page | 312 |
| Ending Page | 315 |
| File Size | 482214 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.138 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Satellites Image segmentation Static VAr compensators Layout Change detection algorithms Pattern recognition Lighting Image registration Cities and towns Image analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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