地貌信息可视化遥感图像准确性提取仿真

Simulation of Accuracy Extraction of Terrain Information Visualization Remote Sensing Image

对地貌信息可视化遥感图像的准确性提取,能够有效提高遥感图像的处理质量。对可视化遥感图像的准确性提取,需要对图像边缘进行分割,搜索分割最佳阈值,完成对遥感图像的准确性提取。传统方法依据类矩形的构建图像的相关函数,引入图像的分割算法特定的形状进行分割,但忽略了搜索图像分割最佳阈值,导致提取精度偏低。提出基于混合蛙跳算法改进的OTSU遥感图像边缘可视化分割方法。针对遥感图像的复杂性以及高边缘密度和噪声较明显等特性,利用混合蛙跳算法改进的OTSU分割方法对遥感图像进行分割,引入邻域空间与灰度的相似测量因子,利用混合蛙跳算法对图像分割最佳的阈值进行图像搜索优化,减少图像的计算量,提高收敛的速度,完成地貌信息可视化遥感图像边缘可视化分割。实验结果表明,该方法能有效地提高遥感图像分割的精度。

In this paper, we propose an improved method for visualization segmentation of OTSU remote sensing image edge based on shuffled frog leaping algorithm. In view of the complexity of remote sensing image, high edge density and obvious noise, OTSU segmentation method improved by shuffled frog leaping algorithm is used to segment remote sensing images and similarity measure factors of neighborhood space and gray are introduced. Moreover, shuf- fled frog leaping algorithm is used for image search optimization of threshold with optimal image segmentation, so as to reduce the amount of computation of image and improve the speed of convergence. Thus, the segmentation visualization of remote sensing image edge of geomorphic information visualization is completed. Experimental results show that the method can effectively improve the segmentation accuracy of remote sensing images.