一种彩色栅格地图注记识别方法
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  • 英文篇名:A Method for Color Raster Map Annotation Recognition
  • 作者:沈意浪 ; 艾廷华 ; 赵荣
  • 英文作者:SHEN Yilang;AI Tinghua;ZHAO Rong;School of Resources and Environmental Science,Wuhan University;
  • 关键词:栅格地图 ; 注记 ; 识别 ; 连通域单元 ; 瓦片
  • 英文关键词:raster map;;annotation;;recognition;;connected component;;tiles
  • 中文刊名:WHCH
  • 英文刊名:Geomatics and Information Science of Wuhan University
  • 机构:武汉大学资源与环境科学学院;
  • 出版日期:2018-01-05
  • 出版单位:武汉大学学报(信息科学版)
  • 年:2018
  • 期:v.43
  • 基金:国家自然科学基金(41531180);; 国家高技术研究发展计划(2015AA1239012)~~
  • 语种:中文;
  • 页:WHCH201801022
  • 页数:7
  • CN:01
  • ISSN:42-1676/TN
  • 分类号:148-154
摘要
栅格地图中的注记包含了丰富的地理位置信息,传统的栅格地图注记识别方法在识别过程中将注记和其对应的地理要素相分离,因此难以处理倾斜注记和弯曲注记。以连通域单元为基本处理对象,提出了一种基于几何特征的彩色栅格地图注记识别方法。首先利用连通域单元的方向、尺寸、密度、邻域四个特征提取注记像素集合,然后通过地理要素中心线对非水平注记进行方向确定,最后对注记进行聚类和重新排列,完成注记识别。通过对GoogleMap(谷歌地图)瓦片中的注记进行提取和识别实验,证明了该方法的合理性和有效性。
        The annotations in raster maps contain important geographical location information,but the traditional recognition methods of raster map annotation separate annotations from geographic elements,making it difficult to deal with curved and sloping annotations.This paper proposes a method for color raster map annotation recognition based on geometric features.The method considers the orientation,size,density,and neighborhood of the connected components to extract annotation pixels,then corrects the direction by extracting the centerline of geographical elements,clustering,and rearranging annotations before finishing the recognition.We use GoogleMap in experiments,the proposed method was effective.
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