Digital SAR processing converts raw phase history data into a focused image through several distinct steps: Go to product viewer dialog for this item.
Ultra-high-resolution spotlight SAR, circular SAR, drone-borne SAR, FMCW SAR systems.
Here’s a review of the book Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation by Ian G. Cumming and Frank H. Wong, assuming you’re referring to the PDF version commonly used in remote sensing and radar signal processing courses. digital processing of synthetic aperture radar data pdf
Focused SAR images are natively oriented in a slant-range geometry based on time-of-flight, which distorts the geography of hilly or mountainous terrain. Processing workflows integrate Digital Elevation Models (DEMs) to execute terrain correction. This eliminates geometric distortions such as (slopes facing the radar appear compressed), layover (mountain peaks appear closer to the sensor than their bases), and shadowing . 5. Modern Architectures and Distributed Workflows
The radar transmits a chirp signal (a sine wave whose frequency increases or decreases linearly over time). Digital processing applies a to compress this long pulse into a very short one. In the frequency domain, this involves multiplying the FFT of the received signal by the complex conjugate of the transmitted signal’s FFT. Digital SAR processing converts raw phase history data
[ Raw SAR Data Matrix ] │ ▼ ┌──────────────────────┐ │ Range Compression │ ◄── Chirp Replica Matched Filter └──────────────────────┘ │ ▼ ┌──────────────────────┐ │ Azimuth FFT │ └──────────────────────┘ │ ▼ ┌──────────────────────┐ │ Range Cell Migration │ ◄── Sinc Interpolation / │ Correction (RCMC) │ Frequency Shifting └──────────────────────┘ │ ▼ ┌──────────────────────┐ │ Azimuth Compression │ ◄── Azimuth Matched Filter └──────────────────────┘ │ ▼ [ Focused SAR Image ] The Range-Doppler Algorithm (RDA)
Improves image quality by replacing range cell migration interpolation with a scaling operation. Omega-K Algorithm (w-k): Cumming and Frank H
Transforming raw "echo" data into a viewable image involves two primary stages of :
The transmitted pulse varies in frequency over time. The mathematical expression is:
Applying a matched filter in the azimuth frequency domain to synthesize the aperture.
