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Details of Grant 

EPSRC Reference: GR/M21058/01
Title: NON - LINEAR WAVELET COMPRESSION OF SYNTHETIC APERTURE RADAR IMAGES
Principal Investigator: Evans, Professor A
Other Investigators:
Monro, Professor D Munro, Professor D
Researcher Co-Investigators:
Project Partners:
Department: Electronic and Electrical Engineering
Organisation: University of Bath
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 1998 Ends: 31 March 2000 Value (£): 50,152
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Synthetic Aperture Radar (SAR) imaging is widely used for remote sensing from both space and airborne platforms. However, its use is limited by the vast amounts of data generated. Image comprehension is a commonly used method to reduce the storage and transmission cost of digital images. In practical the high multiplicative noise component of SAR images limits the compression ratios that can be achieved.We aim to develop novel advanced wave-let based techniques for the compression of SAR images. To do this, two novel areas will be explored. The first of these is the incorporation of non-linear filtering operation within the structure of the wave-let filter. Secondly we will use statistical noise modelling to identify speckle in the wavelet sub-band. The resultant wave-let scheme will operate from near-lossless compression upwards. Speckle simulation will be used to retain the original SAR image appearance, where desired
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Organisation Website: http://www.bath.ac.uk