Efficacy of Frequency on Detecting Targets in Foliage Using Incoherent Change Detection
NAVAL COMMAND CONTROL AND OCEAN SURVEILLANCE CENTER RDT AND E DIV SAN DIEGO CA
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The effectiveness of applying incoherent change detection to multipass synthetic aperture radar SAR images and targets in foliage is affected by the operating radar frequency band. Incoherent change detection is achieved by taking the weighted difference of the magnitude of two well registered passes of SAR imagery. Items which change between two passes, such as a target present in the first pass and not present in the second pass, will appear in the weighted difference image. With well registered wideband SAR imagery, images can be divided into frequency bands and evaluated using incoherent change detection. An Environmental Research Institute of Michigan ERIM Rail SAR experiment provides such a data collection. The Rail SAR is characterized by polarimetric, wideband 400 MHz -1.3 GHz, multipass with and without targets, well registered SAR images. The ERIM Rail SAR data is divided into a number of frequency bands which simulate the high-band Stanford Research Institute, International SRI Ultra-WideBand Radar UWBR 350-550 MHz, the Loral miniature SAR MSAR 500-800 MHz, and the Naval Air Warfare Center NAWC P-3 upgraded UWBR 200-900 MHz sensor. This paper shows how these sensors work on targets in foliage using incoherent change detection and provides an experimental measurement of upper-bound performance.
- Active and Passive Radar Detection and Equipment