Vol. 57

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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 and Zhihua Jian
Progress In Electromagnetics Research M, Vol. 57, 91-102, 2017
doi:10.2528/PIERM17030804

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.

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
http://www.jpier.org/PIERM/pier.php?paper=17030804

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