数字海图水深综合研究现状与分析
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摘要
海图制图自动综合是海图生产一体化与海洋地理信息系统研究的重要领域。水深自动综合是海图制图自动综合研究领域的关键问题之一,也是长期制约海图生产一体化建设的瓶颈问题。本文在简单介绍海图综合及水深综合概念的基础上,针对水深综合现状进行全面梳理,归纳总结水深综合存在的问题,并且对问题进行分解和分析,分析结果有利于进一步理清研究思路,对问题的逐一解决具有借鉴和指导意义。
Automatic cartography generalization is an important field in the integration of chart production and marine geographic information system.Automatic water depth synthesis is one of the key issues in the automatic synthesis of chart drawing,and it is also a bottleneck problem in the long-term constraining the integration of chart production. On the basis of introducing the concept of integrated chart and water depth,this paper summarizes the problems of the comprehensive water depth,decomposes and analyzes the water depth,which is beneficial to further clarify the research ideas,and the problem is solved one by one for reference and guiding significance.
Automatic cartography generalization is an important field in the integration of chart production and marine geographic information system.Automatic water depth synthesis is one of the key issues in the automatic synthesis of chart drawing,and it is also a bottleneck problem in the long-term constraining the integration of chart production. On the basis of introducing the concept of integrated chart and water depth,this paper summarizes the problems of the comprehensive water depth,decomposes and analyzes the water depth,which is beneficial to further clarify the research ideas,and the problem is solved one by one for reference and guiding significance.
引文
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[2]彭冰.数字海图的特点与制图技术研究[J].科技资讯.2014,20,10:228-229.
[3]田震,郑义东,李树军.海图学[M].大连:海军大连舰艇学院.2006.
[4]楼锡淳,朱鉴秋.海图学概论[M].武汉:武汉大学出版社.2001.
[5]宁津生,王正涛.2012-2013年测绘学科发展综合报告[J].测绘科学.2014.2.39(2):3-10.
[6] Kulik,Lamplugh M and Kammerer E.Integration of Nearcontinuous Sound Speed Profile Information[C].Canadian Hydrographic Conference,Montreal,2000
[7] Ataollah Ebrahimzadeh,Vahid Ranaee. Recognition of control chart patterns using sw arm intelligence and neural netw orks based on the statistical and shape features[J]. IEEJ Trans Elec Electron Eng,2010.Vol.6(1).
[8] Ebrahimzadeh Ata,Ranaee Vahid. Control chart pattern recognition using an optimized neural netw ork and efficient features[J].ISA Transactions,2010.Vol.49(3).
[9]邓红艳,武芳,钱海忠.基于遗传算法的点群目标选取模型[J].中国图象图形学报,2003,8(8):970-976.
[10]钱海忠,刘颖,张琳琳,等.基于圆特征的地图要素自动综合算法研究[J].海洋测绘,2005,25(1):14-17.
[11]钱海忠,武芳,谢鹏,等.基于CIRCLE特征变换的点群选取改进算法[J].测绘科学,2006,31(5):69-70.
[12]张璐.海图制图综合的进展及趋势[J].无线互联科技.2015.5(10):81-82.
[13]翟国君,黄谟涛,欧阳永忠,等.海洋测绘的现状与发展[J].测绘通报.2001(6):7-9.
[14]陆毅,翟京生,杜景海.海底地形的识别与水深的综合[J].测绘学院学报.2000.17(4):33-38.
[15]彭认灿,高王军,李改肖,等.基于双向缓冲区算法的海图水深注记自动综合研究[J].《测绘通报》测绘科学前沿技术论坛论文集,2008.10:267-271.
[16]王沫,田震.一种基于数据层次分析的水深综合研究[J].海洋测绘,2014,34(5):48-51.
[17]张立华,贾帅东,王涛,等.一种不漏水深浅点的海图水深自动选取方法[P].中国,201410184190·7,2014.
[18]贾帅东,张立华,彭认灿.与等深线协调的水深自动选取方法[J].哈尔滨工程大学学报,2016(1):59-64.
[19]艾廷华,周启,杨敏,等.一种顾及多重约束条件的水深注记自动选取方法[P].中国,201210029857·7,2012.