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利用主成分分析改善土地利用变化的遥感监测精度——以珠江三角洲城市用地扩张为例
引用本文:黎夏,叶嘉安.利用主成分分析改善土地利用变化的遥感监测精度——以珠江三角洲城市用地扩张为例[J].遥感学报,1997,1(4):282-289.
作者姓名:黎夏  叶嘉安
作者单位:[1]广州地理研究所 [2]香港大学城市规划与环境管理研究中心
摘    要:近年来,珠江三角洲由于经济的快速发展,城市用地急剧增加,利用多时相的遥感图,可以定量地监测这种城市化的现象。但理,由一般的遥感动态监测方法所得的结果往往夸大变化的程度,以及获得一些不合理的结论.该文提出主成分分析的方法来改善遥感动态监测的精度。将该方法应用应用于珠江三角洲发展最快的东莞市,获得了较满意的结果。

关 键 词:遥感  土地利用  城市扩张  主成分析  珠江三角洲
收稿时间:1997/3/31 0:00:00
修稿时间:6/9/1997 12:00:00 AM

Accuracy Improvement of Land Use Change Detection Using Principal Components Analysis: A Case Study in the Pearl River Delta
Li Xia and Anthony Car-On Yeh.Accuracy Improvement of Land Use Change Detection Using Principal Components Analysis: A Case Study in the Pearl River Delta[J].Journal of Remote Sensing,1997,1(4):282-289.
Authors:Li Xia and Anthony Car-On Yeh
Institution:Department of Remote Sensing, Guangzhou Institute of Geography, Guangzhou 510070, P. R China;Centre of Urban Planning and Environmental Management, University of Hong Kong, Hong Kong
Abstract:The Pearl River Delta i.s experiencing a fast urban growth in recent years which is responsible for rapid loss of , the valuable .agricultural land in the region. There is a great need to monitor the urban expansion . using remote sensing for urban planning and management purposes. However, it has been well recognized that there is significant over-estimation of land use change in using multitemporal images in change detection. The problem is due to inadequate creation of classification signatures in" the classification of remote sensing images. This paper presents an improved method using principal components analysis of stacked multi-temporal images. It is found that this method can reduce the errors in land use change detection and provide a very useful method in monitoring land use changes in the Pearl River Dalta.
Keywords:Remote sensing    Land use change    Urban growth  Accuracy    Principal components analysis
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