| 基于高分二号数据的面向对象城市土地利用分类研究 |
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| 引用本文： | 宋明辉.基于高分二号数据的面向对象城市土地利用分类研究[J].遥感技术与应用,1986,34(3):547-552. |
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| 作者姓名： | 宋明辉 |
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| 作者单位： | (1.轨道交通工程信息化国家重点实验室，陕西 西安 710043；;
2.中铁第一勘察设计院集团有限公司，陕西 西安 710043); |
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| 摘 要： |
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Object-oriented Urban Land Classfication with GF-2 Remote Sensing Image |
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| Song Minghui.Object-oriented Urban Land Classfication with GF-2 Remote Sensing Image[J].Remote Sensing Technology and Application,1986,34(3):547-552. |
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| Authors: | Song Minghui |
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| Abstract: | It is of great significance to study the method of extracting urban features from GF-2 remote sensing data.Taking the urban area of Jixi City as the study area，and the GF-2 image is used as the data source.The image is divided into multiple scales，the classification rules of the corresponding objects are established，and the object-based classification method of the rule set is used to classify the objects.Compare with SVM supervised classification results.The results show that the overall accuracy of object-oriented classification is 92.52%，and the Kappa coefficient is 0.91，which is significantly higher than the SVM supervised classification.Using the object-oriented classification method to classify the GF-2 image is better and the precision is higher.Object-oriented classification method based on GF-2 data is an effective method for extracting urban land use classification. |
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| Keywords: | GF-2 Object-based Multi-scale segmentation Classification rules |
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