Object Identification From Multiple Images Based on Point Matching Under a General Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ISAR Image Analysis by Subspace Method: Automatic Extraction and Identification of Ship Profile
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Boosted manifold principal angles for image set-based recognition
Pattern Recognition
Classification of Similar 3D Objects with Different Types of Features from Multi-view Images
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
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We have developed an online system that automatically identifies ships observed in a rapidly updating sequence of range-Doppler images produced by inverse synthetic aperture radar (ISAR). In the system, in order to cope with the invariable noise due to the physics of imaging, we propose to employ a multiframe image processing algorithm that stably extracts profiling as a basic feature reflecting all characteristics of a target. For ship identification, representing the extracted profiles as high-dimensional vectors, we adapt the vector analysis using the recently proposed constrained mutual subspace method (CMSM). The system currently works on an ordinary PC at 5 frames/s and achieves feasible performance of identification. The system is verified using simulated data.