A detector for wavelength resolution SAR incoherent change detection

This paper introduces an effective detector for wavelength-resolution SAR incoherent change detection. The detector is derived from Bayes' theorem. The input of the detector is the differences between surveillance and reference magnitude images simply obtained by a subtraction while the output...

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Bibliographic Details
Published in:2019 IEEE Radar Conference (RadarConf)
Main Authors: Vu, Viet Thuy, Alves, Dimas, Palm, Brna, Pettersson, Mats, Dammert, Patrik, Hellsten, Hans
Format: Conference Object
Language:English
Published: Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap 2019
Subjects:
Radar imaging
Bayes' theorem
CARABAS
Change detection
Detection probabilities
False alarm rate
Measurement campaign
Northern sweden
Wavelength resolution
Synthetic aperture radar
Other Electrical Engineering
Electronic Engineering
Information Engineering
Annan elektroteknik och elektronik
Northern Sweden
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18815
https://doi.org/10.1109/RADAR.2019.8835574
Description
Summary:This paper introduces an effective detector for wavelength-resolution SAR incoherent change detection. The detector is derived from Bayes' theorem. The input of the detector is the differences between surveillance and reference magnitude images simply obtained by a subtraction while the output is a summary of the detected changes. The proposed detector is tested with 24 CARABAS images that were obtained from the measurement campaign in northern Sweden in 2002. The testing results show that the detector can provide a high average detection probability, e.g., about 96%, with a very low false alarm rate, e.g., only 0.35 per square kilometer. © 2019 IEEE.

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