Abstract：For SPOT 6 satellite remote sensing image, a method based on rules was used to extract buildings. Firstly, the authors analyzed the extraction effects of every rule attribute and made the rule extract buildings based on the effect. Then the authors compared the methods of K-means clustering, K nearest neighbor (KNN), support vector machine (SVM) and neural network with the method used in this paper during the research. The precision evaluation of building extraction result shows that the accuracy of this method based on rules is higher than that of other methods. This method relieves the problems of the salt and pepper phenomenon and the same spectrum with foreign bodies, and provides some technical support for the wider application of SPOT 6 satellite images in the future.
付盈, 国巧真, 潘应阳, 汪东川. 基于SPOT6数据的建筑物提取规则研究[J]. 国土资源遥感, 2017, 29(3): 65-69.
FU Ying, GUO Qiaozhen, PAN Yingyang, WANG Dongchuan. Research on building extraction rules based on SPOT6 data. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 65-69.
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2017, Vol. 29 
