作者: Yanfei Zhong , Qiqi Zhu , Liangpei Zhang
DOI: 10.1109/TGRS.2015.2435801
关键词: Support vector machine 、 Semantic interpretation 、 Feature extraction 、 Latent Dirichlet allocation 、 Artificial intelligence 、 Visual dictionary 、 Remote sensing 、 Probabilistic logic 、 Feature (computer vision) 、 Topic model 、 Pattern recognition 、 Cluster analysis 、 Computer science 、 Probabilistic latent semantic analysis
摘要: Scene classification has been proved to be an effective method for high spatial resolution (HSR) remote sensing image semantic interpretation. The probabilistic topic model (PTM) has …