摘要
针对外业测量水深数据量大、数据冗余严重、可用性差等问题,提出了基于边界搜索的水深数据抽稀方法,以实现快速获取给定区域最新水深数据。根据水深测量工程号确定测深数据的空间边界范围,对空间边界范围内的数据进行提取和抽稀。并利用该方法对北方某海区的水深数据进行实验,取得了较好的实验效果,证明该方法在保留海底地形基本特征信息的前提下,能够更高效地抽稀水深数据,有助于海事快速制图。
According to the problems of large amounts of wa- ter depth data,data redundancy and bad availability,a dilu- ting method of water depth big data based on boundary searching is put forward to get the newest water depth data in given region quickly.According to the measurement pro- ject numbers of water depth,we identify the areas for sound- ing data range,and extract and compress the data in the spa- tial boundaries.Then we use the method in question to test expei'iment the water depth data of North Sea and prove that this method can compress the water depth data efficiently and is conductive to the maritime rapid-mapping on the premise of.retaining seafloor topography characteristics in- formation.
作者
陶桐桐
王明军
杨龙
任福
程星会
TAO Tongtong;WANG Mingjun;YANG Long;REN Fu;CHENG Xinghui(School of Resources and Environmental Sciences,Wuhan University,Wuhan 430079,China;Tianjin Hydrographic Center,Tianjin 300022,China)
出处
《测绘地理信息》
2018年第6期62-65,共4页
Journal of Geomatics
基金
国家自然科学基金资助项目(41571438)
关键词
海量数据
边界搜索
高效抽稀
big data
boundary searching
efficient diluting
