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基于改進爬峰法高分辨率遙感影像分割的樹冠提取
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國家高技術發(fā)展研究計劃（863計劃）資助項目（2012AA102001—5）


Tree Crown Extraction Based on Segmentation of High-resolution Remote Sensing Image Improved Peak-climbing Algorithm
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    摘要:

    對現(xiàn)有爬峰法利用高分辨率遙感影像分割進行樹冠提取時存在的問題進行直方圖壓縮和基于類的二次合并兩方面的改進,，并將改進后的爬峰法在Matlab平臺上模擬實現(xiàn),。以QuickBird影像為基礎數(shù)據(jù)源提取單木樹冠，分析樹冠面積提取精度，驗證改進爬峰法對高分遙感影像樹冠分割的可靠性,。研究結果表明：實驗樣本精度均達到85%以上,，與傳統(tǒng)目視解譯精度比較相差較少,，滿足應用需求,。

    Abstract:

    The peak-climbing algorithm in two aspects histogram compression and the two merging based on class when it is applied to high-resolution image segmentation to achieve the tree crown extraction improved peak-climbing algorithm was simulation with programing on Matlab. In order to verify the reliability of the peak-climbing algorithm on high-resolution image tree crown segmentation, QuickBird image to extract individual tree crown and analyze the precision of its area. The study result that the test sample accuracy could more than 85% using the improved and no much differences comparing with the visual interpretation. Thus this improved peak climbing algorithm meets the application requirements

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張凝,張曉麗,葉栗.基于改進爬峰法高分辨率遙感影像分割的樹冠提取[J].農業(yè)機械學報,2014,45(12):294-300. Zhang Ning, Zhang Xiaoli, Ye Li. Tree Crown Extraction Based on Segmentation of High-resolution Remote Sensing Image Improved Peak-climbing Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(12):294-300.

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  • 收稿日期:2014-05-21
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  • 在線發(fā)布日期: 2014-12-10
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