The mountain hazard triggered by earthquake usually starts near the ridgeline. Knowing the distribution of the ridgeline is conducive to making sound judgements on the possible hazards after an earthquake. However, in the complex scenes of PolSAR images containing buildings, the ridgeline recognition process will produce incorrect judgements due to the existence of buildings. Aiming at the ridgeline problem in PolSAR images, a novel method of ridgeline recognition based on the image segmentation and the polarimetric characteristics of PolSAR images was proposed. This method used the principle of the Chan-Vese model and the characteristics of the double-bounce scattering component to realize the recognition of ridgelines in PolSAR images. The experimental results were compared and verified with ground truth and traditional methods. The results showed that the proposed method had higher accuracy than traditional methods and could provide a new idea for the identification of ridgelines in PolSAR images.

地震引发的山地灾害通常始于山脊线附近。了解山脊线的分布有利于对地震后的潜在危险做出合理的判断。但是，在包含建筑物的PolSAR图像的复杂场景中，由于建筑物的存在，脊线识别过程将产生不正确的判断。针对PolSAR图像中的脊线问题，提出了一种基于图像分割和极化特征的极化线识别方法。该方法利用Chan-Vese模型的原理和双反射散射分量的特征来实现PolSAR图像中的脊线识别。实验结果与地面实况和传统方法进行了比较和验证。