Name
Abstract | ||
|---|---|---|
Due to large amount of collected data, image compression is both necessary and important for SAR system. Conventional image compression algorithms are incapable of attaining the desired compression while retaining the image fidelity required for processing at the ground station. In this paper, we present a ROI-based SAR image compression system for low bit rate. Region of interest is identified by a multiresolution constant false alarm rate (CFAR) detector and it is encoded with a higher bit rate than background. Performance was tested over the public MSTAR target chips. Results show that SNR of target area with proposed algorithm are higher than that with conventional algorithm and contextual information is preserved. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IAS.2009.179 | IAS |
Keywords | Field | DocType |
synthetic aperture radar,ground station,roi-based sar image compression,image coding,higher bit rate,public mstar target chips,image resolution,low bit,image fidelity,data compression,public mstar target chip,rate roi-based sar image,wavelet,target detection,proposed algorithm,low bit rate,conventional algorithm,conventional image compression algorithm,region of interest,multiresolution constant false alarm rate detector,low bit rate roi-based sar image compression,sar system,image compression,wavelet transforms,chip,data mining,constant false alarm rate | Computer vision,Data compression ratio,Computer science,Synthetic aperture radar,Artificial intelligence,Constant false alarm rate,Region of interest,Data compression,Image resolution,Image compression,Wavelet transform | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3744-3 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaohong Yuan | 1 | 169 | 26.72 |
| Zhao-Da Zhu | 2 | 95 | 11.95 |
| Gong Zhang | 3 | 42 | 2.70 |