城市绿地信息提取遥感影像尺度效应分析

绿地信息提取精度与影像的空间尺度有关,又与提取目标的特点有关。目前用于绿地信息提取的高分辨率遥感影像主要有QUICKBIRD、IKONOS和SPOT5,不同尺度影像对绿地信息提取精度的影响还缺少相关的研究。本文利用目视解译方法,研究三种尺度遥感影像提取绿地信息的精度。结果表明,三种影像中,由于QUICK-BIRD影像有更详细的空间结构,更适合于城市绿地零星分布特点,在以7层建筑物以下为主的研究区,绿地信息提取精度最高。

The scale effect analysis in urban green space information obtaining using high spatial remote sensing image

RS classification precision is connected highly with the scale of remote sensing image and characteristic of objectives.In recent years,QUICKBIRD,IKONOS and SPOT5 images are often used for urban green space information obtaining.Now,there is little study on the effect of the image scale to information obtaining.In this paper,green space information obtaining precisions using QUICKBIRD,IKONOS and SPOT5 images were analyzed using manul visal interprtation.The result shows that QUICKBIRD image has better precision than other two images,so it is more suitable for urban green space information obtaining,in the area where the buildings under 7 floors are domain.