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基于機(jī)載LiDAR點(diǎn)云濾波的礦區(qū)DEM構(gòu)建方法

發(fā)布時(shí)間:2018-01-20 01:29

  本文關(guān)鍵詞: 機(jī)載LiDAR DEM構(gòu)建 區(qū)域分割 漸進(jìn)不規(guī)則三角網(wǎng) 數(shù)據(jù)濾波 出處:《國(guó)土資源遙感》2015年01期  論文類型:期刊論文


【摘要】:機(jī)載Li DAR數(shù)據(jù)是進(jìn)行礦山高植被覆蓋區(qū)地面塌陷調(diào)查的有效工具。利用湖南某礦區(qū)的機(jī)載Li DAR點(diǎn)云數(shù)據(jù),提出了一種基于區(qū)域分割的漸進(jìn)三角網(wǎng)濾波構(gòu)建DEM的方法。首先,對(duì)原始機(jī)載Li DAR點(diǎn)云數(shù)據(jù)進(jìn)行重新組織,以提高鄰域點(diǎn)計(jì)算效率;其次,結(jié)合高程差計(jì)算區(qū)域統(tǒng)計(jì)值,按照地形情況分割測(cè)區(qū)內(nèi)的地面點(diǎn)和非地面點(diǎn),利用地面點(diǎn)構(gòu)建初始稀疏TIN模型;然后,通過計(jì)算其他點(diǎn)與TIN的距離,漸進(jìn)加密三角網(wǎng),提取地面點(diǎn);最后,剔除孤立點(diǎn),生成格網(wǎng)間距為1 m的DEM。研究結(jié)果表明:基于區(qū)域分割的漸進(jìn)三角網(wǎng)濾波構(gòu)建的DEM能夠較為精細(xì)地表達(dá)地形信息,特別在高植被覆蓋區(qū)域,能夠提取出高精度的真實(shí)地表DEM,可更加準(zhǔn)確地表達(dá)出礦區(qū)高植被覆蓋區(qū)的地表塌陷位置和范圍等信息。
[Abstract]:Airborne Li DAR data is an effective tool for the investigation of ground collapse in mining areas with high vegetation coverage. The airborne Li DAR point cloud data are used in a mining area in Hunan province. A method of constructing DEM based on progressive triangular network filtering based on region segmentation is proposed. Firstly, the original airborne Li DAR point cloud data are reorganized to improve the computing efficiency of neighborhood points. Secondly, combined with the regional statistical value of elevation difference, the initial sparse TIN model is constructed by dividing the ground points and non-ground points in the measured area according to the terrain conditions. Then, by calculating the distance between other points and TIN, the triangular network is gradually encrypted to extract ground points. Finally, eliminating outliers and generating demm with grid spacing of 1 m, the research results show that the DEM based on progressive triangular network filtering based on region segmentation can represent terrain information more accurately. Especially in the high vegetation coverage area, the real surface DEM with high accuracy can be extracted, and the information such as the location and range of surface collapse in the high vegetation cover area of mining area can be expressed more accurately.
【作者單位】: 中國(guó)國(guó)土資源航空物探遙感中心;
【基金】:中國(guó)地質(zhì)調(diào)查局地質(zhì)大調(diào)查項(xiàng)目“新型傳感器礦山地質(zhì)環(huán)境調(diào)查”(編號(hào):1212011220083)資助
【分類號(hào)】:TN958.98
【正文快照】: 0引言機(jī)載激光雷達(dá)(light detection and ranging,Li DAR)可以快速、低成本、大范圍且實(shí)時(shí)獲取高精度三維坐標(biāo)點(diǎn)云數(shù)據(jù),經(jīng)濾波去除地物上的腳點(diǎn),保留地面部分,可得到高精度的數(shù)字高程模型(digitalelevation model,DEM)。在礦山監(jiān)測(cè)區(qū),應(yīng)用機(jī)載Li DAR數(shù)據(jù)獲取的DEM能夠提取出礦

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1 朱正中;劉紅彥;吳佑壽;;用馬爾可夫場(chǎng)模型改善遙感圖象區(qū)域分割的研究[J];無線電工程;1986年06期

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本文編號(hào):1446294

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