| 一种基于概率潜在语义模型的高分辨率遥感影像分类方法 |
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| 引用本文： | 陶超,谭毅华,彭碧发,田金文.一种基于概率潜在语义模型的高分辨率遥感影像分类方法[J].测绘学报,2011,40(2):156-162. |
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| 作者姓名： | 陶超 谭毅华 彭碧发 田金文 |
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| 作者单位： | 华中科技大学 |
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| 基金项目： | 国家863计划(2007AA12Z153) |
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| 摘 要： | 针对高分辨率遥感影像中"同谱异物","同物异谱"现象对影像分类过程造成的干扰,将文本分析中的概率潜在语义模型应用于高分辨率遥感影像分类,提出一种无监督的遥感影像分类新方法.该方法首先利用均值漂移分割方法对影像进行分割构建图像区域集合,然后提取集合各区域中每个像元的Gabor纹理特征,并对这些特征进行聚类形成视觉词汇,最...
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| 关 键 词： | 高分辨率遥感影像分类 概率潜在语义模型 视觉词汇 Gabor纹理特征 |
| 收稿时间： | 2009-12-28 |
| 修稿时间： | 2010-08-24 |
A Probabilistic Latent Semantic Analysis Based Classification for High Resolution Remotely Sensed Imagery |
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| TAO Chao,TAN Yihua,PENG Bifa,TIAN Jinwen.A Probabilistic Latent Semantic Analysis Based Classification for High Resolution Remotely Sensed Imagery[J].Acta Geodaetica et Cartographica Sinica,2011,40(2):156-162. |
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| Authors: | TAO Chao TAN Yihua PENG Bifa TIAN Jinwen |
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| Institution: | TAO Chao1,2,TAN Yihua1,PENG Bifa1,TIAN Jinwen1,2 1.Institute of Pattern Recognition and Artificial Intelligence,Huazhong University of Science and Technology,Wuhan 430074,China,2.The State Key Laboratory for Multi-spectra Information Processing Technology |
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| Abstract: | A new unsupervised classification algorithm for high spatial resolution remotely sensed imagery,which combines Gabor texture feature and PLSA model(probabilistic latent semantic analysis),is presented.Firstly,homogeneous segments are extracted from original imagery through mean shift(MS) segmentation.Secondly,Gabor texture features of every pixel in each region are extracted,and clustered into several visual words.Thus,the imagery segments correspond to the documents,the visual words used to describe the se... |
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| Keywords: | High-resolution remotely sensed imagery classification PLSA Visual word Gabor texture feature |
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