Infrared patch-image model for small target detection in a single image
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Image Processing, 2013, 22 (12), pp. 4996 - 5009
- Issue Date:
- 2013-10-21
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| Filename | Description | Size | |||
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| 06595533.pdf | Published Version | 4.41 MB |
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The robust detection of small targets is one of the key techniques in infrared search and tracking applications. A novel small target detection method in a single infrared image is proposed in this paper. Initially, the traditional infrared image model is generalized to a new infrared patch-image model using local patch construction. Then, because of the non-local self-correlation property of the infrared background image, based on the new model small target detection is formulated as an optimization problem of recovering low-rank and sparse matrices, which is effectively solved using stable principle component pursuit. Finally, a simple adaptive segmentation method is used to segment the target image and the segmentation result can be refined by post-processing. Extensive synthetic and real data experiments show that under different clutter backgrounds the proposed method not only works more stably for different target sizes and signal-to-clutter ratio values, but also has better detection performance compared with conventional baseline methods. © 1992-2012 IEEE.
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