Abstract
It is difficult to detect bridges in synthetic aperture radar (SAR) images due to the inherent speckle noise of SAR images, the interference generated by strong coastal scatterers, and the diversity of bridge and coastal terrain morphologies. In this paper, we present a two-step bridge detection method for polarimetric SAR imagery, in which the probability graph model of a Markov tree is used to build the water network, and bridges are detected by traversing the graph of the water network to determine all adjacent water branch pairs. In the step of the water network construction, candidate water branches are first extracted by using a region-based level set segmentation method. The water network is then built globally as a tree by connecting the extracted water branches based on the probabilistic graph model of a Markov tree, in which a node denotes a single branch and an edge denotes the connection of two adjacent branches. In the step of the bridge detection, all adjacent water branch pairs related to bridges are searched by traversing the constructed tree. Each bridge is finally detected by merging the two contours of the corresponding branch pair. Three polarimetric SAR data acquired by RADARSAT-2 covering Singapore and Lingshui, China, and by TerraSAR-X covering Singapore, are used for testing. The experimental results show that the detection rate, the false alarm rate, and the intersection over union (IoU) between the recognized bridge body and the ground truth are all improved by using the proposed method, compared to the method that constructs a water network based on water branches merging by contour distance.
Funder
National Natural Science Foundation of China
the Fundamental Research Funds for the Central Universities
Subject
General Earth and Planetary Sciences
Reference32 articles.
1. Polarimetric Analysis of Radar Signature of a Manmade Structure
2. Extraction of bridges over water from IKONOS panchromatic data
3. An Automatic Bridge Detection Technique for Multispectral Images
4. Knowledge-based bridge detection from SAR images;Wang;J. Syst. Eng. Electron.,2009
5. Novel method for SAR image segmentation with application to bridge detection;Chen;Proceedings of the IEEE 8th international Conference on Signal Processing,2006
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