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《Science of Surveying and Mapping》 2019-01
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Research on remote sensing image classification combined feature groups and hierarchy strategy

PAN Jianping;XIA Xin;YANG Chunhua;School of Civil Engineering,Chongqing Jiaotong University;Surveying and Mapping Institute of Chongqing,National Bureau of Surveying and Mapping Geographic Information;  
Aiming at the problems of difficulties in obtaining information from surface coverage and low production efficiency in the area of Zangnan,the article proposed a high spatial resolution remote sensing image classification method combined feature groups and hierarchy strategy.According to the classification criteria of land cover information for geographical national census,this paper combined with the actual surface cover of remote sensing image in study area,fully excavated the feature information of remote sensing images with high spatial resolution to establish the classification feature group in the region,then developed a hierarchical feature extraction strategy to reduce the degree of interrelationship between ground objects,and to realize the layer-by-layer classification of remote sensing images in the study area.Finally,the results showed the classification method and strategy proposed in this paper could effectively improve the efficiency of classification,which could be better for the fine classification.
【Fund】: 卫星测绘技术与应用国家测绘地理信息局2017年重点实验室项目(KLSMTA-201705)
【CateGory Index】: P237
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