本文選題：地圖綜合 + 建筑物群　； 參考：《測繪學(xué)報》2017年05期

【摘要】：建筑物群綜合過程中需要對建筑物群空間分布特征進行認知和識別。本文在分析國內(nèi)外相關(guān)研究的基礎(chǔ)上,從描述建筑物空間特征的大量指標中,利用主成份分析方法,總結(jié)并提出了有代表性的建筑物空間特征指標集:凸包面積、緊密度IPQ指標、邊數(shù)和最小面積外接矩形方向,并基于這些指標研究了建筑物群的分類。在利用最小生成樹鄰近圖(MST)劃分建筑物空間子群時,考慮了建筑物成群與所處地理環(huán)境(河流和道路等因素)的關(guān)系。另外,基于最鄰近圖(NNG)、MST、相對鄰近圖(RNG)和Gabriel圖(GG)4種建筑物群鄰近圖,提出了自動識別具有特定空間排列建筑物子群的方法,并比較分析了識別結(jié)果的影響因素和可用性。最后,選擇北京某地區(qū)建筑物群為試驗對象,實現(xiàn)了對建筑物群的分類和空間聚類,并提取了其中直線型空間排列的建筑物子群。
[Abstract]:In the comprehensive process of building groups, it is necessary to recognize and identify the spatial distribution characteristics of the building groups. On the basis of the analysis of relevant research at home and abroad, this paper summarizes and puts forward a representative set of spatial characteristics of buildings: the area of the convex hull, and the tight area of the building. The degree IPQ index, the edge number and the smallest area are connected to the rectangular direction, and the classification of the building groups is studied based on these indexes. In the use of the minimum spanning tree adjacent graph (MST), the relationship between the groups of buildings and the geographical environment (rivers and roads and other factors) is considered. In addition, it is based on the nearest neighbor graph (NNG), MST, relative neighbour. Near graph (RNG) and Gabriel diagram (GG) 4 building groups adjacent graphs, the method of automatic identification of building subgroups with specific spatial arrangement is proposed, and the influencing factors and availability of the recognition results are compared and analyzed. Finally, the building group in a certain area of Beijing is selected as the test object, and the classification and spatial clustering of the building groups are realized, and the extraction of the building group is realized. A subgroup of buildings in which the linear space is arranged.
【作者單位】： 武漢大學(xué)資源與環(huán)境科學(xué)學(xué)院;武漢大學(xué)測繪遙感信息工程國家重點實驗室;中國測繪科學(xué)研究院;
【基金】：國家自然科學(xué)基金(41471384) 公益性科研專項(201512032)~~
【分類號】：P208

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1 石茜;杜博;張良培;;一種基于局部判別正切空間排列的高光譜遙感影像降維方法[J];測繪學(xué)報;2012年03期

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本文編號：2087953