本文選題：船載回聲測(cè)深數(shù)據(jù) + 聚類分析�。� 參考：《泥沙研究》2017年06期

【摘要】：基于水下地形自然演變的漸變性和連貫性特征,通過統(tǒng)計(jì)學(xué)聚類分析方法和地統(tǒng)計(jì)分析方法構(gòu)建水下地形Voronoi地形圖,可以有效地識(shí)別和剔除船載回聲測(cè)深數(shù)據(jù)中的"離散"粗差數(shù)據(jù);可視化顯示的時(shí)空Voronoi高程差分布圖可以有效地識(shí)別誤差高程大于沖淤?gòu)?qiáng)度的"條帶狀"誤差數(shù)據(jù),對(duì)"條帶狀"誤差數(shù)據(jù)識(shí)別的靈敏度受地形坡度、沖淤?gòu)?qiáng)度和測(cè)點(diǎn)密度的影響。雖然時(shí)空Voronoi高程差分布圖對(duì)沖淤?gòu)?qiáng)度較大和坡度較大區(qū)域的"條帶狀"誤差數(shù)據(jù)靈敏度有限,但在地形平緩、沖淤?gòu)?qiáng)度較弱且測(cè)點(diǎn)密度較大的區(qū)域,識(shí)別效果較好,可以作為船載回聲測(cè)深數(shù)據(jù)預(yù)處理的有效方法。
[Abstract]:Based on the gradual change and coherence of the natural evolution of underwater topography, the Voronoi topographic map of underwater terrain is constructed by statistical clustering analysis and geostatistical analysis. It can effectively identify and eliminate the "discrete" gross error data from the echo sounding data on board the ship, and visualize the spatial and temporal Voronoi height difference distribution map, which can effectively identify the "strip" error data whose error elevation is greater than that of scour and silt intensity. The sensitivity of the "strip" error data identification is affected by the terrain slope, scour and silt intensity and the density of the measuring point. Although the sensitivity of the "strip" error data in the area with larger silt intensity and slope is limited by the spatial and temporal Voronoi height difference distribution map, the recognition effect is better in the areas where the topography is smooth, the scouring and silting intensity is weak and the density of measuring points is high. It can be used as an effective method to preprocess the echo sounding data.
【作者單位】： 華東師范大學(xué)地理信息科學(xué)教育部重點(diǎn)實(shí)驗(yàn)室;華東師范大學(xué)地理科學(xué)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(41671095,51761135024);國(guó)家自然科學(xué)基金人才培養(yǎng)項(xiàng)目(J1310028)
【分類號(hào)】：P229

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