Performance Analysis of Block Adaptive Quantization in Synthetic Aperture Radar Raw Data Compression using Domestic ISRCSAR Raw Data and Adaptive Rate Selection Approach

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HATAM M.; LIAGHAT A.R.; Mardaneh N.; HATAM M.

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Paper Information

Journal: JOURNAL OF RADAR Year:2020 | Volume:7 | Issue:2 (SERIAL No. 22) Page(s): 99-109

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Title

Performance Analysis of Block Adaptive Quantization in Synthetic Aperture Radar Raw Data Compression using Domestic ISRCSAR Raw Data and Adaptive Rate Selection Approach

Author(s)

HATAM M. | LIAGHAT A.R. | Mardaneh N. | HATAM M. | Issue Writer Certificate

Keywords

Synthetic aperture radarQ1

compressionQ2

raw dataQ1

Block Adaptive QuantizationQ1

image formationQ1

Abstract

The adaptive block quantization approach, or BAQ, is a common approach to compress Synthetic aperture radar raw data. Radar imaging systems, especially spaceborne SAR system, exploit large bandwidths and high sampling rates, resulting in large bitstreams to be handled. This leads to a large volume of data obtained for each area being imaged, and storing or sending these raw data through a data link is a major challenge. Therefore, by using “ raw data compression” , data link bandwidth and the needed memory space can be reduced effectively. In the course of developing the technical knowledge of spaceborne SAR systems in the country, the design and implementation of SAR raw data compression algorithms have been developed in the Institute of Mechanics. In order to evaluate and analyze the efficiency of these methods, the raw data of ISRCSAR; a SAR system developed by the Institute of Mechanics are used. One of the most important issues discussed in this paper is the adaptive selection of the BAQ rate in the raw data compression as well as the effect of this bit rate selection on the quality of the image which is formed by the compressed data. To compare the resulting images from different BAQ bit rates, the PSNR criterion and visual evaluations of the resulting images are used. The results of this comparison indicate the high performance of the proposed approach.

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APA: Copy

HATAM, M., LIAGHAT, A.R., Mardaneh, N., & HATAM, M.. (2020). Performance Analysis of Block Adaptive Quantization in Synthetic Aperture Radar Raw Data Compression using Domestic ISRCSAR Raw Data and Adaptive Rate Selection Approach. JOURNAL OF RADAR, 7(2 (SERIAL No. 22) ), 99-109. SID. https://sid.ir/paper/400721/en

Vancouver: Copy

HATAM M., LIAGHAT A.R., Mardaneh N., HATAM M.. Performance Analysis of Block Adaptive Quantization in Synthetic Aperture Radar Raw Data Compression using Domestic ISRCSAR Raw Data and Adaptive Rate Selection Approach. JOURNAL OF RADAR[Internet]. 2020;7(2 (SERIAL No. 22) ):99-109. Available from: https://sid.ir/paper/400721/en

IEEE: Copy

M. HATAM, A.R. LIAGHAT, N. Mardaneh, and M. HATAM, “Performance Analysis of Block Adaptive Quantization in Synthetic Aperture Radar Raw Data Compression using Domestic ISRCSAR Raw Data and Adaptive Rate Selection Approach,” JOURNAL OF RADAR, vol. 7, no. 2 (SERIAL No. 22) , pp. 99–109, 2020, [Online]. Available: https://sid.ir/paper/400721/en

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