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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352407