Wavelet Compression of Complex SAR Imagery Using Complex- and Real-Valued Wavelets: A Comparative Study
Conference
·
OSTI ID:1551
- Sandia National Laboratories
While many synthetic aperture radar (SAR) applications use only detected imagery, dramatic improvements in resolution and employment of algorithms requiring complex-valued SAR imagery suggest the need for compression of complex data. Here, we investigate the benefits of using complex- valued wavelets on complex SAR imagery in the embedded zerotree wavelet compression algorithm, compared to using real-valued wavelets applied separately to the real and imaginary components. This compression is applied at low ratios (4:1-12:1) for high fidelity output. The complex spatial correlation metric is used to numerically evaluate quality. Numerical results are tabulated and original and decompressed imagery are presented as well as correlation maps to allow visual comparisons.
- Research Organization:
- Sandia National Laboratories, Albuquerque, NM, and Livermore, CA
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1551
- Report Number(s):
- SAND98-1295C; ON: DE00001551
- Country of Publication:
- United States
- Language:
- English
Similar Records
Experiments with wavelets for compression of SAR data
Compression of Complex-Valued SAR Imagery
Application of pixel segmentation to the low rate compression of complex SAR imagery
Journal Article
·
Fri Dec 31 23:00:00 EST 1993
· IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States)
·
OSTI ID:7226447
Compression of Complex-Valued SAR Imagery
Journal Article
·
Tue Mar 02 23:00:00 EST 1999
· IEEE Transactions on Geoscience and Remote Sensing
·
OSTI ID:3343
Application of pixel segmentation to the low rate compression of complex SAR imagery
Conference
·
Sat Feb 28 23:00:00 EST 1998
·
OSTI ID:650366