Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (10): 3076-3082.doi: 10.12305/j.issn.1001-506X.2023.10.10

• Sensors and Signal Processing • Previous Articles    

Multi-scale SAR road extraction method based on Duda operator

Guodong JIN1, Lining TAN1,*, Xiaolong WANG2, Jianwei ZHAO1   

  1. 1. College of Nuclear Engineering, Rocket Force University of Engineering, Xi'an 710025, China
    2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2021-09-16 Online:2023-09-25 Published:2023-10-11
  • Contact: Lining TAN

Abstract:

Aiming at the problem of extracting different levels of roads in synthetic aperture radar (SAR) images, an effective multi-scale extraction method for SAR roads from coarse to fine is proposed. Based on Duda operator, the method improves the extraction probability of different levels of roads and increases the link probability of potential road segments through multi-scale extraction and results, integration of road in SAR images. On this basis, the effective extraction of roads in SAR images is realized by combing the hierarchical design of scale filtering, morphological filtering, and fragment linking. The proposed method is tested on real SAR images, and the effectiveness of the method is verified by continuous and complete extraction results of road in SAR images.

Key words: synthetic aperture radar (SAR), multi-scale, morphology, road extraction

CLC Number: 

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