| 面向对象的遥感变化检测研究 |
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| 引用本文： | 李伟.面向对象的遥感变化检测研究[J].北京测绘,2013(1):11-15,30. |
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| 作者姓名： | 李伟 |
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| 作者单位： | 天津国土资源和房屋职业学院,天津,300270 |
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| 摘 要： | 通过分析传统的遥感变化检测方法存在的问题,提出了面向对象的遥感变化检测方法。本文利用某地ETM+两个时相的遥感影像,将面向对象和传统变化检测方法进行定性定量的比较,从而得出面向对象的遥感变化检测方法的优势。该方法采用了基于相邻影像区域合并异质性最小的面向对象的多尺度分割方法和模糊分类的方法对变化检测图像进行处理,从而提高了变化检测结果的精度。最终得到较理想的实验分析结果。
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| 关 键 词： | 遥感 变化检测 面向对象 多尺度分割 |
Object-oriented Remote Sensing Change Detection Research |
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| LI Wei.Object-oriented Remote Sensing Change Detection Research[J].Beijing Surveying and Mapping,2013(1):11-15,30. |
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| Authors: | LI Wei |
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| Institution: | LI Wei (Tianjin Land Resources and House Vocational College,Tianjin 300270,China) |
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| Abstract: | In this paper,through the analysis of the problems of traditional remote sensing change detection method,the object-oriented remote sensing changes detection method is presented.In this paper,we compare the object-oriented to traditional change detection methods for qualitative and quantitative through tow ground ETM + phase remote sensing images and get the advantages of object-oriented remote sensing change detection method.The method uses a multi-scale segmentation method based on adjacent image region merging Heterogeneity of minimum and fuzzy classification method object-oriented image change detection processing,thereby improving the change detection result accuracy.Eventually we get better experimental results. |
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| Keywords: | remote sensing change detection object-oriented multi-scale segmentation fuzzy classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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