安徽农业科学2017，Vol.45Issue(14)：208-210,3.
基于高分一号遥感影像的绿地信息提取
Extraction of Urban Green Space Information Based on GF-1 Remote Sensing Images
摘要
Abstract
The atmospheric correction, geometric correction, cutting were conducted on GF-1 satellite images.The cross validation grid optimization was made in Matalb platform by Libsvm 4.0.The best penalty coefficient of support vector machine classifier was 45, and sensitivity coefficient was 0.31.The results showed that the classification accuracy was 94.6%, and the extraction accuracy can meet the high resolution remote sensing images in dynamic monitoring of urban green space.关键词
遥感/高分一号影像/城市绿地/支持向量机分类器Key words
Remote sensing/GF-1 image/Urban green space/Support vector classifier分类
农业科技引用本文复制引用
李巍,丁晨旸,李萍..基于高分一号遥感影像的绿地信息提取[J].安徽农业科学,2017,45(14):208-210,3.基金项目
东营园林局横向项目(K-011) （K-011）
黑龙江科技大学教学研究项目(TY14-10). （TY14-10）
