融合高分辨率遥感影像和POI数据的多特征潜在语义信息用于识别城市功能区
高子为,孙伟伟,程朋根,杨刚,孟祥超

Identify Urban Functional Zones Using Multi Feature Latent Semantic Fused Information of High-spatial Resolution Remote Sensing Image and POI Data
Ziwei Gao,Weiwei Sun,Penggen Cheng,Gang Yang,Xiangchao Meng
表6 4种语义模型用于识别研究区2中城市功能区的精度对比 (%)
Table 6 The comparisons of classification accuracy from four semantic models in study area 2
语义模型ABGMRWSOAKappa
pLSA59.8589.1461.2589.1663.4790.372880.4772.19
LDA62.8890.6762.586.7567.0795.562880.9973.53
STM70.4592.1966.2590.3668.2692.593282.9177.86
ETM67.4295.4368.7598.870.0697.043685.7880.03