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面向?qū)ο蟮母叻直媛视跋褡兓瘷z測(cè)方法研究
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國(guó)家高技術(shù)研究發(fā)展計(jì)劃（863計(jì)劃）資助項(xiàng)目（2006AA10Z204）和美國(guó)國(guó)家自然科學(xué)基金項(xiàng)目（EF0410408、CCF-0120778）


Object-oriented Change Detection Method Using Very High Spatial Resolution Imagery
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    摘要:

    利用VHR影像豐富的地物變化信息對(duì)VHR影像的變化檢測(cè)研究具有重要意義。從多尺度分割得到的對(duì)象出發(fā)，探討面向?qū)ο蟮亩嘧兞孔兓瘷z測(cè)(MAD)方法。研究得到面向?qū)ο蟮淖兓瘷z測(cè)（OB-DFPS）的總體精度93.2%，Kappa系數(shù)0.862。并和傳統(tǒng)的面向像元的差異影像方法進(jìn)行對(duì)比，比較分析得到面向?qū)ο蟮淖兓瘷z測(cè)方法魯棒性更強(qiáng)，精度更高。

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    Remote sensed imagery with very high resolution (VHR) contains substantial spatial information. Multi-scale segmentation algorithm was usded to construct the hierarchical system of objects. The relationships between all features, such as spectral, texture, topography and shape,were analyzed based on canonical correlation analysis (CCA). A difference image was developed by using multivariate alteration detection technology (MAD). The propsed object-oriented double-windows flexible pace searching (OB-DFPS) method achieved accuracy of 93.2%, with Kappa coefficiant of 0.862. After compared with traditional pixel-based method, the proposed OB-DFPS method was more robust. 

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祝錦霞,王珂.面向?qū)ο蟮母叻直媛视跋褡兓瘷z測(cè)方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(4):184-189. Zhu Jinxia, Wang Ke. Object-oriented Change Detection Method Using Very High Spatial Resolution Imagery[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(4):184-189.

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  • 在線發(fā)布日期: 2013-03-28
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