摘要
SAR目标切片图像分割是基于SAR图像目标识别的一个重要步骤。文中通过利用马尔可夫随机场模型 ,引入图像象素的局部结构信息 ,有效实现了SAR目标切片图像的高精度分割。通过对SAR目标切片图像进行统计分析 ,精确选择了分割算法的迭代初值 ,极大提高了算法的计算效率。和其它分割算法相比 。
The segmentation of SAR target chip image is an important process for target recognition based on SAR image. Utilizing MRF (Markov Random Field) model to introduce the pixel's local context information, a quite accurate segmentation of SAR target chip image is realized. By statistical analysis of SAR target chip image for choosing the initial value of the segmentation method, the efficiency of the algorithm is improved greatly. Compared with other segmentation algorithms, our algorithm improves greatly the segmentation speed and accuracy .
出处
《现代雷达》
CSCD
北大核心
2004年第5期42-44,共3页
Modern Radar
