Investigation of SAR compression technique for point target

The essence of remote sensing resides in the acquisition of information about remote targets for further processing. Synthetic Aperture Radar (SAR) has evolved as a powerful tool that accomplishes the necessities of remote sensing plus some additional characteristics such as day-night all-weather operation and good resolution. These characteristics make SAR a very attractive tool in remote sensing but a very expensive operation from the point of view of computational processing and storage costs. Based on advances in signal processing and image processing, for example, fast Fourier Transform (FFT), correlation and convolution techniques, an environment for SAR processing has been developed and constitute the work reported in this paper. The environment includes implementation of one of the SAR algorithms meant for Point target. A MATLAB^reg based environment is presented for signal processing. Special attention is given to the development of algorithm for image formation from raw data.