Abstract
Detecting moving targets in SAR imagery has recently gained a lot of interest as a way to create optical-like radar video sequences that work in all weather conditions, and as a method to do moving target detection in the absence of MTI. The problem can generally be broken into two parts: first, detecting the mover in the SAR imagery and second, geo-locating the mover to the proper cross-range in the SAR image. In this paper, we describe a series of algorithms to solve the first part in single-channel SAR. We first remove the stationary scene with short time Fourier transform subtraction. We then detect the movers by applying a set of possible motion corrections to the image, and use a novel matched filter to detect the movers in this space. We demonstrate our algorithms using data collected from the LiMIT airborne radar system.
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