Multi-class target recognition based on adaptive feature selection

Yuehuan Wang; Wei Yao; Yunfeng Song; Nong Sang; Tianxu Zhang

doi:10.1117/12.850649

12 May 2010 Multi-class target recognition based on adaptive feature selection

Yuehuan Wang, Wei Yao, Yunfeng Song, Nong Sang, Tianxu Zhang

Proceedings Volume 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; 769609 (2010) https://doi.org/10.1117/12.850649
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In this paper, a new approach of multi-class target recognition is proposed for remote sensing image analysis. A multiclass feature model is built, which is based on sharing features among classes. In order to make the recognition process efficient, we adopted the idea of adaptive feature selection. In each layer of the integrated feature model, the most salient and stable feature are selected first, and then the less ones. Experiments demonstrated the approach proposed is efficient in computation and is adaptive to scene variation.

Citation Download Citation

Yuehuan Wang, Wei Yao, Yunfeng Song, Nong Sang, and Tianxu Zhang "Multi-class target recognition based on adaptive feature selection", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 769609 (12 May 2010); https://doi.org/10.1117/12.850649

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