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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Ren Chao-Jian Shi Xin Ran |
| Copyright Year | 2011 |
| Description | Author affiliation: Merchant Marine College, Shanghai Maritime University, Shanghai 200135, China (Lei Ren; Chao-Jian Shi; Xin Ran) |
| Abstract | A target detection method based on SVD and frequency domain characteristics in maritime search and rescue is proposed. The method can select maritime search and rescue targets from textured sea scenes. Firstly, intensity component is obtained and is decomposed using SVD. The first 80% singular components are combined to represent the dominant pattern of input image. Secondly, spectral residual approach and phase spectrum approach are applied to the difference between intensity component and corresponding dominant pattern. The resulting saliency maps show the salient region in maritime search and rescue visual scene and there by target detection performed. |
| Starting Page | 556 |
| Ending Page | 560 |
| File Size | 303977 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457703058 |
| ISSN | 21601348 |
| e-ISBN | 9781457703089 |
| DOI | 10.1109/ICMLC.2011.6016763 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Visualization Strontium Clutter Image color analysis Frequency domain analysis Computational modeling Phase spectrum Maritime search and rescue Target detection Singular value decomposition Spectral residual |
| Content Type | Text |
| Resource Type | Article |
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