本文關(guān)鍵詞：聯(lián)立偏度與峰度變化曲線的機(jī)載LiDAR點(diǎn)云濾波方法　出處：《測(cè)繪科學(xué)技術(shù)學(xué)報(bào)》2016年01期 　論文類型：期刊論文

  更多相關(guān)文章： 機(jī)載激光雷達(dá) 偏度平衡 峰度平衡 變化曲線 曲面擬合

【摘要】：針對(duì)經(jīng)典濾波算法易受參數(shù)、閾值選取影響以及傳統(tǒng)偏度平衡方法濾波結(jié)果不理想等問題,提出一種聯(lián)立偏度與峰度變化曲線的機(jī)載LiDAR點(diǎn)云二次濾波方法。該方法不受參數(shù)與閾值選取影響,在聯(lián)立初始LiDAR點(diǎn)云二者基礎(chǔ)上,通過在其變化曲線上尋找最優(yōu)偏度平衡點(diǎn)完成一次濾波;然后對(duì)初次濾波后獲取地面點(diǎn)進(jìn)行多項(xiàng)式曲面擬合,根據(jù)擬合后的高差統(tǒng)計(jì)值進(jìn)行偏度平衡二次濾波。實(shí)驗(yàn)結(jié)果表明:該方法能保證變化很小的前提下,減少和總誤差,濾波效果更好。
[Abstract]:The classical filtering algorithm is easy to be affected by parameters, threshold selection, and the traditional bias balance method filtering results are not ideal and so on. An airborne LiDAR point cloud quadratic filtering method based on simultaneous bias and kurtosis variation curves is proposed. The method is independent of the selection of parameters and thresholds and is based on the simultaneous initial LiDAR point clouds. The primary filtering is accomplished by finding the equilibrium point of the optimal deviation on the variation curve. Then the polynomial surface fitting is carried out on the ground points obtained after the first filtering, and the bias balance quadratic filtering is carried out according to the statistical value of the fitted height difference. The experimental results show that this method can guarantee the little change. Reduce and total error, filtering effect is better.
【作者單位】： 中國(guó)礦業(yè)大學(xué)環(huán)境與測(cè)繪學(xué)院;
【基金】：“十二五”農(nóng)村領(lǐng)域國(guó)家科技計(jì)劃課題(2012BAJ22B00) 江蘇高校優(yōu)勢(shì)學(xué)科建設(shè)工程項(xiàng)目(SZBF2011-6-B35)
【分類號(hào)】：P237
【正文快照】： 機(jī)載激光雷達(dá)Li DAR(Light Detection AndRanging)可低成本、快速、大范圍實(shí)時(shí)獲取高精度三維點(diǎn)云,被廣泛應(yīng)用到構(gòu)建數(shù)字高程模型DEM(Digital Elevation Model)。然而受復(fù)雜地形環(huán)境影響,原始點(diǎn)云中通常包含有非地面點(diǎn),為此需要對(duì)其進(jìn)行濾波處理。經(jīng)典的濾波算法有數(shù)學(xué)形態(tài)學(xué)

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