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2017-06-04
Bridge Detection in High-Resolution X-Band SAR Images by Combined Statistical and Topological Features
By
Meng Yang,

    Prof. Meng Yang

    School of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Zhihua Jian

    Dr. Zhihua Jian

    College of Communication Engineering

    Hangzhou Dianzi University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 57, 91-102, 2017
doi:10.2528/PIERM17030804 | Google Scholar

Abstract
This article takes account of the radiation feature of rivers in synthetic aperture radar (SAR) images and proposes a novel automatic approach to detect highway bridges by combining statistical and topology features. The proposed method consists of two steps. In the river-extraction stage, the classification techniques are applied to water extraction according to the statistical and gray-leveled features. In the bridge-extraction stage, bridges are then detected in this binary image by using a topology-based approach. Experimental results show that the proposed method can be implemented with high-precision highway-bridge extraction, feature analysis, and bridge recognition.
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Citation
Meng Yang, and Zhihua Jian, "Bridge Detection in High-Resolution X-Band SAR Images by Combined Statistical and Topological Features," Progress In Electromagnetics Research M, Vol. 57, 91-102, 2017.
doi:10.2528/PIERM17030804
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