Compression and classification methods for hyperspectral images

Author:

Kaarna A.,Toivanen P.,Keränen P.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference19 articles.

1. P. Toivanen, A. Lehtinen, J. Ansamaki, and H. Kalviainen, “Two-Stage Multispectral Image Compression Using the Self-Organizing Map,” in Proceedings of the 11th Scandinavian Conference on Image Analysis SCIA’ 99, 1999.

2. S. Lim, K. Sohn, and C. Lee, “Principal Component Analysis for Compression of Hyperspectral Images,” in Proceedings of IEEE geoscience and Remote Sensing Symposium, 2001 (IGARSS’ 01. IEEE 2001 International, 2001), pp. 97–99.

3. P. L. Dragotti, G. Poggi, and R. P. Ragozini, “Compression of Hyperspectral Images by Three-Dimensional SPIHT Algorithm,” IEEE Trans. on Geoscience and Remote Sensing 38, 416–428 (2000).

4. A. Kaarna and J. Parkkinen, “Transform Based Lossy Compression of Multipectral Images,” Pattern Analysis and Applications 4, 39–50 (2001).

5. J. Ziv and A. Lempel, “Compression of Individual Sequences via Variable Rate Coding,” IEEE Trans. on Information Theory IT-24, 530–536 (1978).

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