Fine Classification of Urban Vegetation Based on Aims Hyperspectral Remote Sensing
Aiming at the problems of insufficient resolution,lack of spectral information and interference of impurities in airborne multi-spectral remote sensing in vegetation survey and classification,hyperspectral data has stronger ability of vegetation identification,which has at-tracted more and more attention in urban landscape or vegetation survey management in recent years.Based on the full range hyperspectral da-ta of Changzhou obtained by aims multimodal aerial camera,using airborne hyperspectral remote sensing technology,this paper studies and puts forward the fine classification method of hyperspectral remote sensing in urban vegetation based on aims,and carries out remote sensing monitoring of urban landscaping in Changzhou.The spatial distribution,type distribution,coverage and other information of vegetation were ob-tained through hyperspectral remote sensing technology,which provided a scientific basis for Changzhou to find out the"Green family back-ground"and create an ecological garden city.
万方数据
维普
