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Position: Home > Articles > Building Interpretation Model of Hollow Village High Resolution Images Based on Bag-of-words Transactions of the Chinese Society for Agricultural Machinery 2017 (6) 132-137

基于词袋特征的空心村高分影像建筑物解译模型

作  者：
李政;李何超;吴玺;李永树;谢嘉丽;鲁恒
单  位：
四川省土地统征整理事务中心;四川大学水利水电学院;西南交通大学地球科学与环境工程学院;四川大学水力学与山区河流开发保护国家重点实验室
关键词：
空心村;词袋模型;高分影像;机器学习;建筑物解译
摘  要：
如何利用高分影像构建自动解译模型是快速高效获取空心村建筑物的关键,对空心村调查研究具有重要意义。针对传统目视解译需要专业知识,效率低、工作量大的问题,提出一种基于词袋特征的空心村高分影像建筑物解译模型。首先,对比了多种影像特征提取方法;然后,选取词袋特征(Bo W)和支持向量机(SVM)构建建筑物自动解译模型;最后,为检验方法的有效性,选取空心村高分影像构建了建筑物样本库,并基于该样本库进行实验研究。结果表明本文方法的分类准确度可以达到0.86,所提方法可用于空心村内建筑物自动解译,具有较高的实用价值。
译  名：
Building Interpretation Model of Hollow Village High Resolution Images Based on Bag-of-words
作  者：
LI Zheng;LI Hechao;WU Xi;LI Yongshu;XIE Jiali;LU Heng;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University;Center of Land Acquisition and Consolidation in Sichuan Province;State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University;College of Hydraulic and Hydroelectric Engineering,Sichuan University;
关键词：
hollow village;;bag-of-words model;;high resolution images;;machine learning;;building interpretation
摘  要：
With the rapid development of remote sensing technology,remote sensing image resolution has been greatly improved and the ground targets can be obtained from high resolution remote sensing image.But the traditional visual interpretation has low work efficiency and needs for professional knowledge.Thus using high resolution remote sensing image to construct automatic interpreting model is the key to quickly and efficiently obtain the building of hollow village.Meanwhile,it is important for the hollow village renovation and research.Based on this,a novel automatic building interpretation model of hollow village high resolution images based on bag-of-words(Bo W) was proposed.Firstly,several existing feature extraction methods were compared,and then based on the Bo W and support vector machines(SVM) the automatic interpretation model for the building was constructed.In order to verify the validity of this method,the high resolution remote sensing image of typical hollow village was selected to construct the building sample library.Finally,the model for building interpretation was experimentally studied based on the sample library.The results showed that the classification accuracy(ACC) of this method can reach 0.86.Therefore,the proposed method can be used for the building automatic interpretation,and it had high practical value to hollow village research and renovation.

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