The blurred signal history is focused into a sharp point along the azimuth direction, completing the basic image formation. 4. Standard SAR Processing Algorithms
Once RCMC is complete, the data undergoes azimuth compression. Similar to range compression, this uses a matched filter based on the Doppler frequency shift generated by the relative motion between the platform and the target. Compressing the Doppler phase history focuses the energy into a highly resolved pixel in the along-track direction. 3. Primary SAR Processing Algorithms digital processing of synthetic aperture radar data pdf
Processing uses a technique called matched filtering or deconvolution. The received signal is correlated with a replica of the transmitted chirp. The blurred signal history is focused into a
The raw data collected by a SAR sensor consists of overlapping, two-dimensional matrices of phase and amplitude values. A single target echo is spread out over both range and azimuth dimensions. Similar to range compression, this uses a matched
Developed in the 1970s for the SEASAT satellite, RDA remains a standard benchmark. By operating in the hybrid Range-Doppler domain, it can correct range migration independently for different targets based on their azimuth frequencies. It is best suited for narrow-beam, low-squint systems. Chirp Scaling Algorithm (CSA)
Geocoding uses a Digital Elevation Model (DEM) to geometrically warp the slant-range image into a standard geographic coordinate reference system (such as UTM/WGS84). This allows the data to overlay accurately with other spatial layers in GIS software. 6. Software Ecosystem for SAR Processing