本文關(guān)鍵詞： 邊界搜索 抽稀 比例尺 閾值　出處：《武漢大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：多波束測深系統(tǒng)的不斷進步和廣泛應(yīng)用,給海洋測繪帶來了極大的便利。海洋測繪從單波束系統(tǒng)測量轉(zhuǎn)變?yōu)槎嗖ㄊ到y(tǒng)測量,測量精度和測量效率都得到了大大的提高。但是多波束測深系統(tǒng)存在著另外一些問題,多波束的測量大大增加了單位面積的水深點數(shù)據(jù)個數(shù),大范圍的測量海域決定了水深數(shù)據(jù)的海量特性,而且水深數(shù)據(jù)由于重疊測量,存在著大量的數(shù)據(jù)冗余。北方海域某測區(qū)的水深數(shù)據(jù)經(jīng)過長年積累,具有海量的特性而且多時相的特點,如何對原始海量的水深數(shù)據(jù)進行抽稀,刪除冗余的水深數(shù)據(jù),保留最新的且可用的水深數(shù)據(jù),且根據(jù)比例尺建立不同層次的水深數(shù)據(jù)庫,成為解決水深數(shù)據(jù)問題的關(guān)鍵。本文對比多種數(shù)據(jù)抽稀算法,提出一種基于邊界搜索的水深數(shù)據(jù)抽稀算法,首先提取水深數(shù)據(jù)點集的凸殼,然后凸殼逐步內(nèi)縮,形成點集的邊界,最后根據(jù)水深數(shù)據(jù)抽稀規(guī)則對邊界內(nèi)的水深數(shù)據(jù)進行抽稀,保留時間最新的數(shù)據(jù)點和深度最淺點,并建立三維海底地形模型。通過對多種算法進行數(shù)據(jù)抽稀實驗,并對比抽稀結(jié)果、抽稀效率和三維模型的生成,該算法大大提高了水深數(shù)據(jù)抽稀的效率和準(zhǔn)確率,在大量減少數(shù)據(jù)冗余的同時,而且能夠很好的保留海底地形特征。同時,該算法可以應(yīng)用到水深數(shù)據(jù)的組織管理維護上,根據(jù)不同的比例尺下的不同抽稀閾值,使水深數(shù)據(jù)分層為不同比例尺的水深數(shù)據(jù)庫,便于海事部門生產(chǎn)滿足不同比例尺的海圖需求和不同層次的航海需要。最后應(yīng)用該算法處理某海事部門的水深數(shù)據(jù),抽稀水深數(shù)據(jù),并建立水深數(shù)據(jù)庫和水深數(shù)據(jù)更新機制,該算法為水深數(shù)據(jù)的抽稀和水深數(shù)據(jù)庫的建立提供了有效的方法。
[Abstract]:The continuous progress and wide application of multi-beam bathymetric system bring great convenience to marine surveying and mapping. Marine surveying and mapping has changed from single-beam system to multi-beam system. The measurement accuracy and efficiency have been greatly improved, but there are some other problems in the multi-beam bathymetric system. The multi-beam measurement greatly increases the number of water depth point data per unit area. The massive characteristics of the bathymetric data are determined by the large range of measured sea areas, and there is a great deal of data redundancy due to the overlapping surveying of the bathymetric data. The bathymetric data of a certain area in the northern sea area have accumulated over the years. It has the characteristics of magnanimity and multiphase, how to dilute the original massive water depth data, delete redundant water depth data, keep the latest and available depth data, and establish different levels of water depth database according to the scale. In this paper, a new algorithm based on boundary search is proposed to extract the convex hull of the point set of water depth data, and then gradually shrink the convex shell. Forming the boundary of the point set, finally thinning the water depth data within the boundary according to the rules of water depth data extraction, keeping the newest data points and the shallowest depth points. The 3D submarine terrain model is established. Through the data thinning experiment of many algorithms and the comparison of thinning results, drawing efficiency and the generation of 3D model, the algorithm greatly improves the efficiency and accuracy of water depth data thinning. At the same time, the algorithm can be applied to the management and maintenance of water depth data, according to the different drawing threshold under different scales. In order to make the depth data stratified into different scale bathymetric databases, it is convenient for maritime departments to meet the needs of nautical charts of different scales and different levels of navigation. Finally, the algorithm is applied to deal with the depth data of a certain maritime department. The algorithm provides an effective method for the extraction of water depth data and the establishment of water depth database.
【學(xué)位授予單位】：武漢大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P229

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