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 A B G M R W S OA Kappa pLSA 59.85 89.14 61.25 89.16 63.47 90.37 28 80.47 72.19 LDA 62.88 90.67 62.5 86.75 67.07 95.56 28 80.99 73.53 STM 70.45 92.19 66.25 90.36 68.26 92.59 32 82.91 77.86 ETM 67.42 95.43 68.75 98.8 70.06 97.04 36 85.78 80.03