Feature Fusion Based Road Extraction for HJ-1-C SAR Image

Road network extraction in SAR images is one of the key tasks of military and civilian technologies. To solve the issues of road extraction of HJ-1-C SAR images, a road extraction algorithm is proposed based on the integration of ratio and directional information. Due to the characteristic narrow dynamic range and low signal to noise ratio of HJ-1-C SAR images, a nonlinear quantization and an image filtering method based on a multi-scale autoregressive model are proposed here. A road extraction algorithm based on information fusion, which considers ratio and direction information, is also proposed. By processing Radon transformation, main road directions can be extracted. Cross interferences can be suppressed, and the road continuity can then be improved by the main direction alignment and secondary road extraction. The HJ-1-C SAR image acquired in Wuhan, China was used to evaluate the proposed method. The experimental results show good performance with correctness (80.5%) and quality (70.1%) when applied to a SAR image with complex content.

[1]  Jocelyn Chanussot,et al.  Fuzzy fusion techniques for linear features detection in multitemporal SAR images , 1999, IEEE Trans. Geosci. Remote. Sens..

[2]  Paolo Gamba,et al.  Improving urban road extraction in high-resolution images exploiting directional filtering, perceptual grouping, and simple topological concepts , 2006, IEEE Geoscience and Remote Sensing Letters.

[3]  B. Wessel,et al.  ANALYSIS OF AUTOMATIC ROAD EXTRACTION RESULTS FROM AIRBORNE SAR IMAGERY , 2003 .

[4]  Y. Zhu,et al.  A road extraction method using beamlet transform , 2012, 2012 IEEE International Conference on Electro/Information Technology.

[5]  Bhu Dev Sharma,et al.  Remote Sensing Image Registration Techniques: A Survey , 2010, ICISP.

[6]  C. R. Moloney,et al.  A ratio edge detector for speckled images based on maximum strength edge pruning , 1995, Proceedings., International Conference on Image Processing.

[7]  Christian Wiedemann,et al.  EXTERNAL EVALUATION OF ROAD NETWORKS , 2003 .

[8]  A. J. Rye,et al.  The Hough transform applied to SAR images for thin line detection , 1987, Pattern Recognit. Lett..

[9]  Paolo Gamba,et al.  Junction-aware extraction and regularization of urban road networks in high-resolution SAR images , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[10]  C. Oliver,et al.  Optimum edge detection in SAR , 1996 .

[11]  Ye Zhang,et al.  Modified ROA algorithm applied to extract linear features in SAR images , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.

[12]  Mihai Datcu,et al.  Automated information extraction from high resolution SAR images: TerraSAR-X interpretation applications , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[13]  Jean-Francois Mangin,et al.  Detection of linear features in SAR images: application to road network extraction , 1998, IEEE Trans. Geosci. Remote. Sens..