Title :
Adaptive CFAR for Space-Based Multichannel SAR–GMTI
Author :
Sikaneta, Ishuwa C. ; Gierull, Christoph H.
Author_Institution :
Defence R&D Canada, Ottawa, ON, Canada
Abstract :
This paper studies the statistics of clutter data measured with a multichannel space-based synthetic aperture radar (SAR) for the purpose of ground moving target indication (GMTI) and presents an algorithm that implements an adaptive constant false-alarm rate (CFAR) detector. It discusses the differences between airborne and space-based SAR-GMTI clutter measurements and proposes how to develop the statistics of the latter from widely published results for the former. Based upon one of the differences, it proposes an adaptive CFAR detector and demonstrates detection using measured RADARSAT-2 data. The adaptive CFAR algorithm does not require a texture distribution for heterogeneous clutter.
Keywords :
geophysical image processing; geophysical techniques; object detection; radar clutter; radar imaging; remote sensing by radar; synthetic aperture radar; RADARSAT-2 data; adaptive CFAR algorithm; adaptive CFAR detector; adaptive constant false-alarm rate detector; airborne-based SAR-GMTI clutter measurements; clutter data statistics; ground moving target indication; heterogeneous clutter; multichannel space-based synthetic aperture radar; space-based SAR-GMTI clutter measurements; space-based multichannel SAR-GMTI; texture distribution; Phase noise; Radar clutter; Radar cross section; Spaceborne radar; CFAR; compound distribution; phase noise; radar clutter; radar detection; space-based radar; texture;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2012.2195320