合成孔径雷达SAR（Synthetic Aperture Radar）图像的非平稳性是SAR海冰图像自动解释的主要障碍，入射角效应是导致海冰图像特征不稳定的主要因素之一。基于Radarsat-1 ScanSAR模式数据，本文提出了一种集成入射角效应校正步骤的分割算法。该方法综合考虑了入射角效应、斑点噪声等不确定因素，经由像素到区域再到大尺度区域这一途径，把区域聚类、类尺度上的入射角效应校正以及区域合并等操作组合起来，以有效提高分割算法对非平稳性的适应能力。针对巴芬湾和和波斯尼亚湾ScanSAR模式图像的实验表明，本文提出的方法可有效提高分割准确性。

Non-stationary nature of SAR images is a major obstacle to the automatic interpretation of SAR sea ice image. Incidence angle effect is one of the main factors leading to instability in the sea ice image features. Based on Radarsat-1 ScanSAR mode data, this paper proposes a new segmentation algorithm which integrates incidence angle effect correction step. Considering both the speckle noise and incidence angle effect, the regional clustering, incidence angle effect correction and region merging will be combined through the pathway starting from the pixel, region and to the large-scale area. The efficiency of the proposed method has been demonstrated on the segmentation of Baffin Bay SAR sea ice image and Gulf of Bothnia SAR sea ice image, suggesting that the segmentation accuracy has been substantially improved in contrast to area-based MRF algorithm.