Multi-scale feature analysis method for bridge recognition in SAR images

Target recognition is an important field in remote sensing image processing. This paper handles with the problem of bridge recognition in Synthetic Aperture Radar (SAR) images. Based on features of bridges, rivers and land in different spatial resolution SAR images, a method of multi-scale analysis is proposed. The original data is split into low and middle resolution level. The bridge candidates are located in low level by automatically detecting river. And regions of interesting (ROI) are obtained in middle one. So, bridges are recognized by analyzing those regions. The example results indicate that the processing speed can be greatly improved and the precision of recognition can also be ensured.