Fast retrieval of multi- and hyperspectral images using relevance feedback
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Ziyou Xiong | William M. Pottenger | Morton S. Farber | N. Yeager | I. E. Alber | W. Pottenger | I. Alber | Ziyou Xiong | N. Yeager | M. Farber
[1] Thomas S. Huang,et al. Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..
[2] Michael D. King,et al. Discriminating heavy aerosol, clouds, and fires during SCAR‐B: Application of airborne multispectral MAS data , 1998 .
[3] Walter A. Burkhard,et al. Some approaches to best-match file searching , 1973, Commun. ACM.
[4] Ziyou Xiong,et al. Speeding up relevance feedback in image retrieval with triangle-inequality based algorithms , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[5] Linda G. Shapiro,et al. A Flexible Image Database System for Content-Based Retrieval , 1999, Comput. Vis. Image Underst..
[6] Mihai Datcu,et al. Interactive learning and probabilistic retrieval in remote sensing image archives , 2000, IEEE Trans. Geosci. Remote. Sens..
[7] Linda G. Shapiro,et al. Triangle-inequality-based pruning algorithms with triangle tries , 1998, Electronic Imaging.
[8] Thomas S. Huang,et al. Optimizing learning in image retrieval , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[9] Ziyou Xiong,et al. Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval , 2001, SPIE Defense + Commercial Sensing.
[10] Alan Q. Li,et al. INTELLIGENT SYSTEM TECHNOLOGIES FOR REMOTE SENSING REPOSITORIES , 1999 .