The fundamental goal of SAR digital processing is to reconstruct the reflectivity of the Earth's surface by correlating received signals in two dimensions: (across-track) and Azimuth (along-track). 1. Fundamental Principles of SAR Imaging
: To achieve high range resolution with long pulses (necessary for power efficiency), SAR uses Linear Frequency Modulated (LFM) signals, often called chirps .
Converts the image from the radar's native geometry (range and azimuth) into a standard geographic coordinate system (e.g., UTM). This step incorporates a Digital Elevation Model (DEM) to correct for terrain distortions like foreshortening, layover, and shadowing.
Corrects layover, foreshadowing, and shadow effects. It uses a Digital Elevation Model (DEM).
The most common algorithm used for processing raw SAR data into imagery. Chirp Scaling Algorithm (CSA):
Digital Processing of Synthetic Aperture Radar Data Introduction to SAR Systems
The book is designed for active learning, bridging theory and practice:
Converts data to the azimuth-frequency domain.
Understanding the PDF of SAR data is essential for various applications, such as:
Cumming and Wong dedicate Chapter 11 to a systematic comparison of these algorithms, evaluating them based on: