DocumentCode :
1813697
Title :
Low Bit Rate ROI-Based SAR Image Compression
Author :
Yuan, Xiao-Hong ; Zhu, Zhao-Da ; Zhang, Gong
Author_Institution :
Coll. of Aerosp. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume :
1
fYear :
2009
fDate :
18-20 Aug. 2009
Firstpage :
563
Lastpage :
567
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.
Keywords :
data compression; image coding; image resolution; synthetic aperture radar; ground station; image fidelity; low bit rate ROI-based SAR image compression; multiresolution constant false alarm rate detector; public MSTAR target chips; region of interest; Bit rate; Detectors; Discrete wavelet transforms; Educational institutions; Image analysis; Image coding; Object detection; Radar detection; Satellite ground stations; Synthetic aperture radar; image compression; synthetic aperture radar; target detection; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-0-7695-3744-3
Type :
conf
DOI :
10.1109/IAS.2009.179
Filename :
5283783
Link To Document :
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