DocumentCode
576577
Title
Matlab based SAR signal processor for educational use
Author
Deo, Rinki ; Jamod, Ankit ; Gopu, V. Deepika Rani ; Rao, Y.S.
Author_Institution
Centre of Studies in Resources Eng., Indian Inst. of Technol. Bombay, Mumbai, India
fYear
2012
fDate
22-27 July 2012
Firstpage
5318
Lastpage
5321
Abstract
This paper is an attempt to help the beginners and the students to learn the basics of the SAR signal processing in a simple and easy way using MATLAB. The signal processing of SAR data is very important for generating various data products for different applications and analysis of land features. The SAR raw data for signal processing is a two dimensional array which contain sampled echoes in the complex form. Pulse compression techniques are used to compress energy of echoes and thereby increasing the resolution of SAR. To obtain the final image the range compression, Doppler centroid frequency estimation, range cell migration correction, azimuth compression etc. are implemented in such a way that any user can understand very easily. Advantage of the developed code in MATLAB is that it does not need a vast programming knowledge to be able to customize it. The developed code will be available to all users for educational and training purposes.
Keywords
computer aided instruction; electrical engineering education; feature extraction; image coding; image resolution; pulse compression; radar computing; radar imaging; radar resolution; synthetic aperture radar; Doppler centroid frequency estimation; Matlab-based SAR signal processor; SAR raw data; SAR resolution; azimuth compression; complex form; data products; echoes energy compress; educational purposes; educational use; image compression; land features analysis; programming knowledge; pulse compression techniques; range cell migration correction; training purposes; two dimensional array; CSA; RCMC; RDA; chirp; pulse compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352407
Filename
6352407
Link To Document