Detection and Imaging of Moving Targets with LiMIT SAR Data
Abstract
Detecting moving targets in SAR imagery has recently gained a lot of interest as a way to replace optical moving target detection and classification in adverse (e.g. cloudy) weather conditions. This can be particularly important for small radar antennas, which tend to have high conventional GMTI minimum detectable velocity. Inthis work, we primarily focus on the problem of detecting and imaging the targets in single channel (or summed multi-channel) SAR data. Single channel based methods provide the ability to do detection well below the normal minimum detectable velocity of multi-channel based GMTI. We also show results for multiple channel geo-location after single-channel detection and imaging. The algorithms consist of the following steps: We first suppress the stationary scene by comparing non-coherent time-subimages. 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 can then image the moving targets using standard SAR focusing techniques and geo-locate the movers using multi-channel (if available) along-track interferometry. We demonstrate and evaluate our algorithms using data collected from the LiMIT airborne radar system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 03, 2017
- Accession Number
- AD1032787
Entities
People
- David J. Barrett
- Gerald R Benitz
- Michael K Newey
- Sandeep Mishra
Organizations
- MIT Lincoln Laboratory