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基于視覺里程計的森林樣地調(diào)查系統(tǒng)研究
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中央高?;究蒲袠I(yè)務費專項資金項目 (2015ZCQ-LX-01)、國家自然科學基金項目(U1710123)和安徽農(nóng)業(yè)大學青年基金重點項目(2015ZD06)


Research on Forest Plot Survey System Based on Visual Odometer
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    摘要:

    以視覺里程計技術恢復連續(xù)攝影序列圖像位姿,并以恢復位姿的圖像為基礎構建樣地調(diào)查系統(tǒng)。該系統(tǒng)通過對圖像位姿尺度恢復、定義樣地坐標系、標記立木等過程估計樣地中立木位置及胸徑。用相機對12塊半徑為7.5m的圓形樣地進行連續(xù)攝影,獲取有序圖像序列,并使用構建的樣地調(diào)查系統(tǒng)對圖像序列進行處理,以獲取樣地中立木位置及胸徑。實驗結果表明,所有樣地立木位置估計值x軸與y軸方向的偏差(BIAS)分別為0.04、-0.03m,均方根誤差(RMSE)分別為0.21、0.17m;樣地中立木胸徑估計值的BIAS及RMSE分別為0.09cm(0.51%)和0.88cm(5.03%)。

    Abstract:

    The visual odometer technology was used to restore the posture of the continuous photographic sequences. The sampleplot survey system was constructed based on the images of the restored posture. The system can estimate the position and DBH of the sample trees in the sampleplot by recovering the image posture scale, defining the plot coordinate system, and sample tree marking. Totally 12 circular sample plots with radius of 7.5m were continuously photographed to obtain the image sequence. And then the obtained image sequence was processed with the constructed sample plot survey system to measure the position and DBH of the sample trees. The results showed that the deviations of estimated values of sample tree position of the plots in the xaxis and yaxis directions were 0.04m and -0.03m, respectively, and the root mean square error (RMSE) was 0.21m and 0.17m, respectively. The BIAS and RMSE of the estimated DBH were 0.09cm (0.51%) and 0.88cm (5.03%), respectively. The results showed that the visual odometer technology had a great potential to restore the image posture and to use the nonpoint cloud method to estimate the tree position and the breast diameter from the picture by plot survey method.

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陳盼盼,馮仲科,范永祥,高祥,申朝永.基于視覺里程計的森林樣地調(diào)查系統(tǒng)研究[J].農(nóng)業(yè)機械學報,2019,50(10):167-174. CHEN Panpan, FENG Zhongke, FAN Yongxiang, GAO Xiang, SHEN Chaoyong. Research on Forest Plot Survey System Based on Visual Odometer[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(10):167-174.

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  • 收稿日期:2019-06-21
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  • 在線發(fā)布日期: 2019-10-10
  • 出版日期: 2019-10-10