A robust nonlinear scale space change detection approach for SAR images

Sevilmiş, Berk and Okman, O. Erman and Nar, Fatih and Demirkesen, Can and Çetin, Müjdat (2013) A robust nonlinear scale space change detection approach for SAR images. In: Conference on Image and Signal Processing for Remote Sensing XIX, Dresden, Germany

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In this paper, we propose a change detection approach based on nonlinear scale space analysis of change images for robust detection of various changes incurred by natural phenomena and/or human activities in Synthetic Aperture Radar (SAR) images using Maximally Stable Extremal Regions (MSERs). To achieve this, a variant of the log-ratio image of multitemporal images is calculated which is followed by Feature Preserving Despeckling (FPD) to generate nonlinear scale space images exhibiting different trade-offs in terms of speckle reduction and shape detail preservation. MSERs of each scale space image are found and then combined through a decision level fusion strategy, namely "selective scale fusion" (SSF), where contrast and boundary curvature of each MSER are considered. The performance of the proposed method is evaluated using real multitemporal high resolution TerraSAR-X images and synthetically generated multitemporal images composed of shapes with several orientations, sizes, and backscatter amplitude levels representing a variety of possible signatures of change. One of the main outcomes of this approach is that different objects having different sizes and levels of contrast with their surroundings appear as stable regions at different scale space images thus the fusion of results from scale space images yields a good overall performance.
Item Type: Papers in Conference Proceedings
Additional Information: Article Number: UNSP 889215
Uncontrolled Keywords: Change detection; multitemporal SAR images; log-ratio image; scale space representation; MSER; fusion
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Müjdat Çetin
Date Deposited: 13 Jan 2014 12:44
Last Modified: 26 Apr 2022 09:13
URI: https://research.sabanciuniv.edu/id/eprint/23482

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