Name
Abstract | ||
|---|---|---|
Recognizing a target in synthetic-aperture radar (SAR) images is an important, yet challenging, application of the model-based vision technique. This paper describes a model-based SAR recognition system based on invariant histograms and deformable template matching techniques. An invariant histogram is a histogram of invariant values defined by geometric features such as points and lines in SAR images. Although a few invariants are sufficient to recognize a target, we use a histogram of all invariant values given by all possible target feature pairs. This redundant histogram enables robust recognition under severe occlusions typical in SAR recognition scenarios. Multi-step deformable template matching examines the existence of an object by superimposing templates over potential energy field generated from images or primitive features. It determines the template configuration which has the minimum deformation and the best alignment of the template with features. The deformability of the template absorbs the instability of SAR features. We have implemented the system and evaluated the system performance using hybrid SAR images, generated from synthesized model signatures and real SAR background signatures. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/CVPR.1996.517060 | San Francisco, CA |
Keywords | Field | DocType |
deformable template,model-based sar recognition system,hybrid sar image,sar recognition scenario,multi-step deformable template matching,real sar background signature,sar feature,sar image,superimposing template,invariant histogram,sar target recognition,image recognition,radar imaging,robustness,synthetic aperture radar,histograms,system performance,potential energy | Radar,Template matching,Computer vision,Histogram,Radar imaging,Pattern recognition,Computer science,Synthetic aperture radar,Robustness (computer science),Artificial intelligence,Invariant (mathematics),Template | Conference |
Volume | Issue | ISSN |
1996 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
0-8186-7258-7 | 12 | 7.73 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ikeuchi, K. | 1 | 12 | 7.73 |
| Takeshi Shakunaga | 2 | 192 | 43.46 |
| M. D. Wheeler | 3 | 12 | 7.73 |
| Yamazaki, T. | 4 | 12 | 7.73 |