Change Detection in UWB SAR Images Based on Robust Principal Component Analysis

Abstract

This paper addresses the use of a data analysis tool, known as robust principal component analysis (RPCA), in the context of change detection (CD) in ultrawideband (UWB) very high-frequency (VHF) synthetic aperture radar (SAR) images. The method considers image pairs of the same scene acquired at different time instants. The CD method aims to maximize the probability of detection (PD) and minimize the false alarm rate (FAR). Such aim fits into a multiobjective optimization problem, since maximizing the probability of detection generally implies an increase in the number of false alarms. In that sense, varying the RPCA regularization parameter leads to PD variation with respect to FAR, which is known as receiver operating characteristic (ROC) curve. To evaluate the proposed method, the CARABAS-II data set was considered. The experimental results show that RPCA via principal component pursuit (PCP) can provide a good trade-off between PD and FAR. A comparison between the results obtained with the proposed method and a classical CD algorithm based on the likelihood ratio test provides the pros and cons of the proposed method.

A New Orbiting Deployable System for Small Satellite Observations for Ecology and Earth Observation

“…The comparison of the pre-and post-event images collected by the micro-satellites can provide an efficient method to detect map changes, robust both to speckle phenomena and co-registration problems (e.g., [265]). In order to increase the accuracy of vessel detection, X-band SAR data are processed through four fundamental stages: land masking, pre-processing, pre-screening, and discrimination [255,266].…”

CNN-Based Change Detection Algorithm for Wavelength-Resolution SAR Images

“…For wavelength-resolution SAR systems, there is likely only a single scatterer per resolution cell, which results in SAR images without suffering the influence of speckle noise. This characteristic of wavelength-resolution SAR images promotes stability in time, a feature that can be very well explored in applications that make use of two or more SAR images acquired at different time passes [2], [3].…”

SAR Image Change Detection via Multiple-Window Processing with Structural Similarity

“…The change detection (CD) technique has been widely applied in the evaluation of monitoring and predicting trends in disasters that have occurred in the investigated area by using synthetic aperture radar (SAR), which can operate day and night and during almost any weather conditions [ 1 , 2 , 3 , 4 ]. The generation of a CD map (CDM), a kind of a binary change mask corresponding to difference between two SAR images, is aimed at providing the dynamic evolution of scene changes [ 5 , 6 , 7 ]. However, SAR images usually suffer from the presence of speckle noise, which leads to the degradation of detection performance of CD approach [ 8 , 9 , 10 ].…”