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根據(jù)地形坡度旋轉(zhuǎn)的車載激光點云形態(tài)學(xué)濾波

發(fā)布時間:2018-04-21 18:30

  本文選題:開運算 + 形態(tài)學(xué)濾波 ; 參考:《遙感信息》2017年01期


【摘要】:針對傳統(tǒng)的基于開運算的形態(tài)學(xué)濾波方法在坡度連續(xù)變化較大的區(qū)域無法有效濾除非地面點的問題,提出了一種可適應(yīng)斜坡地形的濾波新方法。首先對全區(qū)域進(jìn)行分塊,構(gòu)建地面不規(guī)則三角網(wǎng)確定各分塊區(qū)域的地形坡度和方向;然后根據(jù)地形坡度和方向?qū)Ω鞣謮K區(qū)域內(nèi)的數(shù)據(jù)進(jìn)行旋轉(zhuǎn),使地形坡度接近于水平,從而更適用于基于開運算的形態(tài)學(xué)濾波方法;最后對點云數(shù)據(jù)執(zhí)行多尺度形態(tài)學(xué)開運算確定地面點。分別選擇平坦地形和斜坡地形的車載激光點云數(shù)據(jù)進(jìn)行了實驗,兩類點云數(shù)據(jù)均包含植被、建筑、裸地等,結(jié)果表明,提出的方法能夠有效濾除各種類型地物,并且對斜坡地形具有較好的濾波效果。
[Abstract]:Aiming at the problem that the traditional morphological filtering method based on open operation can not effectively filter except the ground points in areas with large continuous slope changes, a new filtering method for slope topography is proposed in this paper. Firstly, the terrain gradient and direction of each block area are determined by constructing the ground irregular triangle network, and then the data in each block area are rotated according to the terrain slope and direction, so that the terrain slope is close to the level. So it is more suitable for morphological filtering method based on open operation. Finally, multi-scale morphological open operation for point cloud data is performed to determine the ground point. The experimental results show that the two kinds of point cloud data include vegetation, building, bare land and so on. The results show that the proposed method can filter all kinds of ground objects effectively. And the slope terrain has better filtering effect.
【作者單位】: 山東科技大學(xué)海洋工程研究院;海島(礁)測繪技術(shù)國家測繪地理信息局重點實驗室;山東科技大學(xué)測繪科學(xué)與工程學(xué)院;
【基金】:測繪公益性行業(yè)科研專項經(jīng)費資助項目(201512034) 海洋公益性行業(yè)科研專項經(jīng)費資助項目(201305034) 山東省高等學(xué)校科技計劃項目(J13LH04) 海島(礁)測繪技術(shù)國家測繪地理信息局重點實驗室資助項目(2015A01) 山東科技大學(xué)教育教學(xué)研究“群星計劃”項目(qx2013307);山東科技大學(xué)研究生教育創(chuàng)新計劃資助項目(KDYC15004)
【分類號】:P237

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 盧秀山;劉如飛;田茂義;劉冰;;利用改進(jìn)的數(shù)學(xué)形態(tài)法進(jìn)行車載激光點云地面濾波[J];武漢大學(xué)學(xué)報(信息科學(xué)版);2014年05期

2 吳叢叢;盧小平;李國利;馮之前;李s,

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