基于灰度形态学，提出一种从高分辨率遥感图像提取道路网络的方法。首先利用灰度形态特征对遥感影像进行分割，进而得到基本的道路网络轮廓。
Based on grey level mathematical morphology, this paper presents a newly developed approach to extract road network from high-resolution remotely sensed image.
目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。
Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.
医学影像学诊断报告的自动化无论是从建立医疗系统信息网络还是报告的微机化管理都势在必行。
It is necessary that the report of medical image diagnosis be automated, both in building medical system network and in micro-computed management.
应用推荐