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Road extraction and its application in moving target detecion in SAR images

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper discusses a moving target detection method based on road extraction in SAR images. Firstly road pixels are initially extracted by fuzzy C mean (FCM) clustering. Then the image is divided into sub-block and the Hough transform is used to extract the segment candidates in each block. Combining the proximity, the con-linearity and the membership of the segment candidates, the reasonable roads are preserved and false roads are removed. Integration of a priori information on road traffic network, making use of binary statistical hypothesis testing and change detection method, moving target detection performance in SAR images is improved. Simulation results demonstrate the effectiveness of the method.

Original languageEnglish
Title of host publication2010 International Conference on Mechanic Automation and Control Engineering, MACE2010
Pages1150-1153
Number of pages4
DOIs
StatePublished - 2010
Event2010 International Conference on Mechanic Automation and Control Engineering, MACE2010 - Wuhan, China
Duration: 26 Jun 201028 Jun 2010

Publication series

Name2010 International Conference on Mechanic Automation and Control Engineering, MACE2010

Conference

Conference2010 International Conference on Mechanic Automation and Control Engineering, MACE2010
Country/TerritoryChina
CityWuhan
Period26/06/1028/06/10

Keywords

  • Change detection
  • Fuzzy C mean
  • Moving target detection
  • Road detection
  • Synthetic aperture radar

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