Title :
A selective compression algorithm for SAR images based on irregular and adaptive sampling
Author :
Avagnina, Davide ; Dovis, Fabio ; Presti, Letizia Lo ; Mulassano, Paolo
Author_Institution :
Dept. of Electron., Politecnico di Torino, Italy
fDate :
6/23/1905 12:00:00 AM
Abstract :
Deals with the topic of selective compression of SAR images. A novel algorithm based on the use of irregular and adaptive sampling is presented: good compression ratios can be achieved selecting the regions of interest (ROI) within the image in order to represent them with an adequate set of samples, while the textured or uniform background is roughly sampled. The method presented has been tested on several SAR images obtaining very good performance. An example of an application is given in this paper
Keywords :
data compression; image reconstruction; radar imaging; radar theory; signal sampling; synthetic aperture radar; ROI; SAR images; adaptive sampling; compression ratios; irregular sampling; regions of interest; selective compression; textured background; uniform background; Background noise; Compression algorithms; Image coding; Image sampling; Image texture analysis; Pixel; Rough surfaces; Sea surface; Synthetic aperture sonar; Testing;
Conference_Titel :
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN :
0-7803-7057-0
DOI :
10.1109/ICECS.2001.957424
