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传统的遥感图像过渡区提取与分割算法基于梯度运算。指出了传统算法存在的不足,对遥感图像过渡区像素属性进行分析,使用局部复杂度参数用于遥感图像的过渡区提取与分割。实验研究表明,算法优于传统的基于梯度算子的过渡区提取与分割方法,算法抗噪性好,鲁棒性强。
Traditional remote sensing image transition area extraction and segmentation algorithm based on gradient computing. The shortcomings of the traditional algorithms are pointed out. The pixel attributes in the transitional region of remote sensing images are analyzed. The local complexity parameters are used to extract and segment the transition regions of remote sensing images. Experimental results show that the proposed algorithm outperforms the traditional method based on gradient operator to extract and segment the transition region. The proposed algorithm has good anti-noise performance and strong robustness.