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Study on the Algorithm of SAR Raw Data Compression

Author: ZhangLaiSheng
Tutor: DongZhen
School: National University of Defense Science and Technology
Course: Electronics and Communication Engineering
Keywords: Synthetic Aperture Radar Raw Data Compression The block adaptive quantization ( BAQ ) Vector quantization Block adaptive vector quantization
CLC: TN957.52
Type: Master's thesis
Year: 2010
Downloads: 77
Quote: 1
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Abstract


Synthetic aperture radar (Synthetic Aperture Radar, referred to as SAR ) is an all-weather , all-time working imaging remote sensing equipment , a large area of ??high-resolution imaging of Surveying and Mapping targets on the ground . SAR has a high-resolution capability unmatched by conventional radar , is an important development direction of modern radar systems . The same time, the longer-wavelength microwave has the ability to penetrate the vegetation and ground surface , other remote sensing devices , such as visible and infrared can not match . Synthetic aperture radar is widely used in topographic mapping , flood disaster monitoring , marine pollution monitoring , the mineral forest resources and crop census , military reconnaissance and other areas of the national economy and national defense . With the resolution of the SAR observation area range expanding SAR raw data is growing , has brought great difficulties to the signal transmission and storage . SAR raw data compression to reduce data storage and transmission capacity , is an effective way to solve this problem , this paper SAR raw data compression algorithm to study . As the basis for research work , the statistical characteristics of the radar signal analysis, explains the role and significance of the SAR raw data compression . Introduces several typical SAR raw data compression algorithm . At the same time , we also give a SAR raw data compression algorithm to evaluate programs and the assessment parameters are defined . -Depth study , analysis of the the BAQ algorithm is the algorithm simple , real-time, speed and other characteristics , respectively, based on simulated and measured data , different sub - block program BAQ algorithm , different compression ratio compression experiments , compression performance simulation and evaluation , the results of a series of evaluation indicators . The experimental results show that , under the premise that meet the qualitative condition of block size , the type of sub-block size of the program for each evaluation indicators of the impact smaller the BAQ algorithm can achieve the desired compression effect . The article concludes the paper work done and the BAQ algorithm further research visions and perspectives .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission
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