利用监督分类快速提取分层设色图件中数据的方法
首发时间:2014-10-24
摘要:本研究提出一种基于监督分类方法快速提取分层设色图像中信息,进而实现对分层设色图像进行快速数字化的方法。根据不同颜色分量组成的特征空间,使用最小距离法快速提取地图中分层设色法表达的空间数据方法。该方法解决了过去使用手工数字化方法难以提取该种类型数据的难题。使用该方法对东半球海域海面水汽分布数据进行提取,取得了良好的效果。
关键词: 地理信息系统;监督分类;数据提取;分层设色法;ENVI; 海面水汽分布图
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Application of Supervised Classification Method in the Extraction of the Data from Hypsometric Law Based Map
Abstract:In this article, a new method is designed to extract the spatial data in hypsometric law based map quickly, based on the analysis of the map image. In this method, minimum distance supervised classification method is used, and feature class space is constructed based on the R G B component of the map image. This method solved the problem that manual operation is hard to extract such kind of data from map image in the past. We used this method to extract the water vapor concentration data in the east hemisphere, and the result is fine.
Keywords: Geography information system supervised classification method data extraction Hypsometric law based map ENVI water vapor concentration map
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No.4613924101083214****
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