Conference Paper

J. B. Boettcher, Q. Du, and J. E. Fowler, “Hyperspectral Image Compression with the 3D Dual-Tree Wavelet Transform,” in Proceedings of the International Geoscience and Remote Sensing Symposium, Barcelona, Spain, July 2007, pp. 1033-1036.

• Abstract:
  The complex dual-tree discrete wavelet transform is explored for the coding of hyperspectral imagery using a coder that has previously demonstrated efficient video-coding performance. A noise-shaping process increases the sparsity of the redundant transform-coefficient set, resulting in a high degree of regional coherency within the coefficient subbands. This coherency, as well as correlation across subbands, is exploited by a coding algorithm that performs set-partitioning using k-d trees. Prior experiments have shown that the proposed set-partitioning algorithm outperforms state-of-the-art JPEG2000 when coding video. However, experimental results indicate that the same coder fails to show similar gains when coding hyperspectral data, suggesting that hyperspectral data does not have properties that can be exploited by the increased directionality of the dual-tree transform.

• Text:

© 2007 IEEE. Published in the 2007 International Geoscience and Remote Sensing Symposium (IGARSS 2007), scheduled for July 23-27, 2007, in Barcelona, Spain. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966.