Discrimination Algorithm for False Alarm Reduction in SAR Incoherent Change Detection

Alexandre Becker Campos, Ricardo Simão Diniz Dal Molin, Mats I. Pettersson, Renato Machado

DOI: 10.14209/sbrt.2019.1570558772

Evento: XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2019)

Keywords:

Abstract

This paper introduces an additional stage for incoherent change detection algorithms (CDAs) based on multilayer perceptron (MLP). Pixels the CDA initially assigned as detections are re-evaluated by the MLP based on features extracted from the processed images, according to a previously performed training. The tests considered multitemporal synthetic aperture radar (SAR) images from the CARABAS-II system, in a scenario where military vehicles were concealed under vegetation. Preliminary results show that the proposed method can reduce the false alarm rate (FAR) by up to 73% for the same probability of detection.

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