基于航片颜色分割的土地利用更新调查技术

本文对基于航片的土地利用更新调查作业流程进行了分析,对其中的地物提取、地图纠正技术进行了探讨,提出了基于神经元网络和启发式学习规则的彩色地图分层的方法,用以提取彩色地形图中的特征地物以及进行颜色分割。还构造了地图自动纠正算法,它自动准确地提取图内的格网,以进行纠正。这些算法提高了土地利用更新作业效率。

Technique of land utilization updating inspection based on aerial image and color segmentation

The workflow of land utilization updating inspection based on aerial image is analyzed,and the techniques of feature extraction and map calibration are discussed.This paper proposes a color segmentation algorithm based on neural network and heuristic learning for the sake of extracting the features in color map and color segmentation.The algorithm of map calibration is created too,which can extract map grids automatically and exactly for map calibration.These algorithms promote the work efficiency of land utilization updating.