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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lin, Yi Yan, Lei Liu, Yuefeng Jiang, Miao Tong, Qingxi |
| Copyright Year | 2008 |
| Abstract | Although high-resolution remote sensing (RS) images can supplement the reference map's deficiency in LADAR (Laser Radar) referenced navigation system over plain area, their different imaging modes still leave great errors' introduction into the positioning process. As positioning is commonly accomplished by matching the edges extracted as the obvious terrain characteristics, exploring automatic procedure for balancing mutual information is an important step to improve the system's performance. To solve this issue, this paper explores the criterion of edge-points ratio (EPR) based on wavelet multi-scale analysis extraction method, and then appropriate measures are applied for different conditions. EPR at various decomposition layer works as the key circle for adaptive balancing, and so related edge-distribution characteristics can be used individually, such as close-contour or line. |
| Starting Page | 348 |
| Ending Page | 351 |
| File Size | 762628 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769531199 |
| DOI | 10.1109/CISP.2008.310 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | RS Paramagnetic resonance Navigation High-resolution imaging EPR edge extraction Data mining LADAR Remote sensing Radar remote sensing Laser radar positioning Adaptive balancing Radar imaging Laser modes Mutual information |
| Content Type | Text |
| Resource Type | Article |
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