發(fā)布時(shí)間：2018-07-02 18:21

  本文選題：無人機(jī) + 圖像分析��； 參考：《農(nóng)業(yè)工程學(xué)報(bào)》2017年21期

【摘要】：樹木胸徑是林木資產(chǎn)評(píng)估中的重要參數(shù),該文利用圖像分析技術(shù)預(yù)測樹木胸徑可為資產(chǎn)評(píng)估提供參考。以銀杏和法國梧桐為試驗(yàn)樹種,通過擬合無人機(jī)正射圖像中的單株樹木樹冠面積與胸徑的關(guān)系預(yù)測樹木胸徑值。首先利用二型模糊聚類方法對(duì)無人機(jī)采集的純林樣地正射圖像中的單株樹冠進(jìn)行分割,獲取樹冠像素面積,然后利用地面參照物計(jì)算出樹冠的實(shí)際面積,并與測量的胸徑值進(jìn)行擬合,得出樹冠面積與胸徑的函數(shù)關(guān)系,林區(qū)中其他樹木胸徑值可基于該函數(shù)關(guān)系和其樹冠面積計(jì)算得出。試驗(yàn)結(jié)果顯示無人機(jī)正射圖像中的銀杏及法桐樹冠面積與胸徑均呈對(duì)數(shù)關(guān)系,且該文計(jì)算所得的銀杏1.2 m處的胸徑與實(shí)際胸徑之間的平均誤差約為0.31 cm,法桐1 m處的胸徑與實(shí)際胸徑之間的平均誤差為0.27 cm,均在行業(yè)允許的1 cm誤差范圍內(nèi),該文提出的基于無人機(jī)正射圖像分析技術(shù)預(yù)測樹木胸徑較為準(zhǔn)確,可為中小尺度林地資產(chǎn)評(píng)估提供參考。
[Abstract]:Tree DBH is an important parameter in the evaluation of forest assets. In this paper, the prediction of DBH by image analysis can be used as a reference for the evaluation of forest assets. Using ginkgo biloba and sycamore as experimental tree species, the tree DBH values were predicted by fitting the relationship between tree crown area and DBH in forward shot images of UAV. In this paper, we first segment the single tree crown in the orthophoto image of pure forest sample collected by UAV by using type 2 fuzzy clustering method, and obtain the pixel area of tree crown, and then calculate the actual area of tree crown by using ground reference material. The relationship between crown area and DBH can be obtained by fitting the measured DBH value, and other tree DBH values in forest area can be calculated on the basis of this function and its crown area. The experimental results showed that the crown area of Ginkgo and Fructus were logarithmic with the diameter of DBH in the forward projection images of UAV. The average error between DBH and DBH of Ginkgo biloba at 1.2 m and actual DBH is about 0.31 cm, and the average error between DBH and actual DBH at Faton 1 m is 0.27 cm, which is within the allowable error range of 1 cm in industry. The forward projection image analysis technique based on UAV proposed in this paper is more accurate in predicting the DBH of trees, which can be used as a reference for the evaluation of forest assets in small and medium scale.
【作者單位】： 北京林業(yè)大學(xué)信息學(xué)院;
【基金】：中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(No.2015ZCQ—XX)
【分類號(hào)】：S771.5;TP391.41
，

本文編號(hào)：2090624