Conference Paper

Q. Du, W. Zhu, and J. E. Fowler, “Anomaly-Based Hyperspectral Image Compression,” in Proceedings of the International Geoscience and Remote Sensing Symposium, Boston, MA, July 2008, vol. 2, pp. 974-977.

• Abstract:
  

  We propose a new lossy compression algorithm for hyperspectral images, which is based on spectral principal component analysis (PCA), followed by JPEG2000 (JP2K). The approach employs an anomaly-removal model in the compression process to preserve anomalous pixels. Results on two different hyperspectral image scenes show that the new algorithm not only provides good post-compression anomaly-detection performance but also improves ratedistortion performance.

• Text:

© 2008 IEEE. Published in the IEEE 2008 International Geoscience & Remote Sensing Symposium (IGARSS 2008), scheduled for July 6-11, 2008 in Boston, Massachusetts, U.S.A. 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.