Wavelength-resolution SAR change detection with constant false alarm rate
- Resource Type
- Conference
- Authors
- Vu, Viet T.; Pettersson, Mats; Gomes, Natanael R.; Dammert, Patrik; Hellsten, Hans
- Source
- 2017 IEEE Radar Conference (RadarConf) Radar Conference (RadarConf), 2017 IEEE. :1504-1508 May, 2017
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Smoothing methods
Surveillance
Detection algorithms
Synthetic aperture radar
Change detection algorithms
Detectors
- Language
- ISSN
- 2375-5318
The paper introduces an incoherent change detection algorithm with constant false alarm rate (CFAR). The algorithm is based on a CFAR detector that preceded with an adaptive noise smoothing filter while the input of the filter is preliminary changes retrieved from a subtraction of surveillance SAR image to reference SAR image. The algorithm is tested with 24 data sets provided by CARABAS. The average probability of detection calculated for 1200 deployed vehicles is up to 96% while the false alarm rate calculated for an area of 288 square kilometers is only 0.15 per square kilometer. In our test, the algorithm did not require a longer processing time than other wavelength-resolution SAR change detection algorithms. Based on these evaluations, the introduced algorithm is seen to be effective.