Automatic Extraction of Bridges with Shape and Texture Characteristics Using High Resolution SAR Images

doi:10.13474/j.cnki.11-2246.2017.0384

Abstract

Abstract: This study proposed an automatic extraction method of bridge information based on the shape and texture characteristics of bridges in high resolution SAR images.This method consists of three steps:①elimination of noise by time-series image averaging;②detection of water-areas by a threshold;③extraction of bridge information based shape and texture characteristics of bridges.The experimental results show that the precise of extraction by the method proposed in this study can reach 87.5% and is significantly better than traditional methods.The experimental evaluation indicated that this method has high reliability and feasibility for automatic extraction of bridge information from high resolution SAR images.

Key words: high resolution, SAR images, bridge, shape characteristics, texture characteristics, automatic extraction

CLC Number:

P237

JIA Hongguo, LIU Luyao, WEI Bowen, ZHANG Mengyi, WU Yan, ZHANG Hao. Automatic Extraction of Bridges with Shape and Texture Characteristics Using High Resolution SAR Images[J]. 测绘通报, 2017, 0(12): 82-85.

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