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강원대학교 지구물리학과 이 훈 열 hoonyol@kangwon.ac.kr 교육용 인공위성 영상레이더 자료처리 공개 프로그램 (eSAR Processor)의 개발 Development of an educational Synthetic Aperture Radar Processor.

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Presentation on theme: "강원대학교 지구물리학과 이 훈 열 hoonyol@kangwon.ac.kr 교육용 인공위성 영상레이더 자료처리 공개 프로그램 (eSAR Processor)의 개발 Development of an educational Synthetic Aperture Radar Processor."— Presentation transcript:

1 강원대학교 지구물리학과 이 훈 열 hoonyol@kangwon.ac.kr
교육용 인공위성 영상레이더 자료처리 공개 프로그램 (eSAR Processor)의 개발 Development of an educational Synthetic Aperture Radar Processor 강원대학교 지구물리학과 이 훈 열

2 One Page Introduction to SAR
Active Imaging Radar Microwave Weather-free and Day & night imaging High Gain Antenna Synthesized large aperture through signal processing -> dramatically enhanced (azimuth) resolution 2D image + Phase = 3D measurement InSAR, DInSAR, PolSAR, Pol-InSAR, PSInSAR Detection, classification, mm-scale surface motion, etc.

3 SAR Product Levels Product Levels Data Type Prospectus Users RAW
RAW Geophysicist 1 Focused Scientist 2 Geocoded GIS specialist 3+ Fully calibrated GIS users

4 Geophysical Approach to SAR
Geophysicists are in a good position to understand SAR system through profound data processing from the beginning (RAW), read engineer’s mind who designed the system, do science, and give feedback to RF engineers.

5 Limited or even dead ended
SAR Processors Commercial Educational Price Extremely expensive Free Learning Quick Slow Use Convenient Difficult Source Code Hidden Open Versatility Limited or even dead ended Market limited Open to all

6 eSAR Processor SAR Focusing and InSAR Processor
Developed for graduate course Range-Doppler Algorithm Effective use of computer facilities One PC for each student Minimum PC specification (CPU, Memory, HDD) Small areas Based on cygwin (Linux emulator for Windows, Free) GNU C-Compiler (Free) Machine independent FFT Algorithm from Numerical Recipes Interactive education – can see each processing step Open and easy source code (ANSI-C) Everything’s Free Open Forum No GUI currently, but some can be added Student study the SAR system and structure of data -> versatile to any data type

7 SAR Focusing For MxN pixel image (2ax2b): Memory Usage CPU Time HDD
= MxNx2(complex)x8(double) Bytes (ex. 64MB for 1024x4096, 256MB for 8192x2048) CPU Time = 2D FFT and iFFT = 2*Ma/2*N + 2*Nb/2*M = MN(a+b) multiplications (ex. 88M multiplications for 1024x4096. a few minutes in PIII CPU and dozens of seconds in PIV CPU ) HDD Minimum 4-look amplitude: MxN (ex. 4M for 1024x4096) Maximum: MxNx4(float)x2(complex)x8(outputs) (ex. 256M for 1024x4096)

8 SAR Focusing Steps (2048x4096) range azimuth azimuth frequency RAW
Range Compressed Range Migrated

9 SAR Focusing Results 4-look SAR amplitude (40km x 20km)

10 More to come SAR Interferometry SAR Polarimetry Some GUI
More accurate and robust SAR focusing algorithm Open source code: An online (or offline) forum can be organized upon the user’s request.


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