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余俊波、艾廷华的论文在ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION刊出
发布时间:2023-08-24     发布者:易真         审核者:     浏览次数:

标题: Inconsistency Detection in Cross-Layer Tile Maps with Super-Pixel Segmentation

作者: Yu, JB (Yu, Junbo); Ai, TH (Ai, Tinghua); Xu, HJ (Xu, Haijiang); Yan, LR (Yan, Lingrui); Shen, YL (Shen, Yilang)

来源出版物: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION  : 12  : 6  文献号: 244  DOI: 10.3390/ijgi12060244  出版年: JUN 2023  

摘要: The consistency of geospatial data is of great significance for the application and updating of geographic information in web maps. Due to the multiple data sources and different temporal versions, the tile web maps usually meet the inconsistency question across different layers. This study tries to develop a method to detect this kind of inconsistency utilizing a raster-based scaling approach. Compared with vector-based handling, this method can be directly available for multi-level tile images in a pixel representation form. The proposed cross-layer raster tile map rendering method (CRTMRM) consists of four primary aspects: geographic object separation, consistency rendering rules, data scaling and derivation with super-pixel segmentation, and inconsistency detection. The scale transformation strategy with the super-pixel attempts to obtain a simplified representation. Taking the scale lifespan variation and geometric consistency rules into account, the inconsistency detection of tile maps is conducted between temporal versions, multi-sources, and different scales through actual and derived data overlay analysis. The experiment focuses on features of cross-layer water or vegetation areas with Level 9 to Level 14 in Baidu Maps, Amap, and Google Maps. This method is able to serve as a basis for massive unstructured web map data inconsistency detection and support intelligent web map rendering.

作者关键词: consistency detection; tile map; super-pixel; map generalization; web map rendering

地址: [Yu, Junbo; Ai, Tinghua; Xu, Haijiang; Yan, Lingrui] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Ai, Tinghua] Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

[Ai, Tinghua] Natl Adm Surveying Mapping & Geoinformat, Key Lab Digital Mapping & Land Informat Applicat E, Wuhan 430079, Peoples R China.

[Shen, Yilang] Sun Yat Sen Univ, Sch Geospatial Engn & Sci, Zhuhai 519082, Peoples R China.

通讯作者地址: Ai, TH (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Ai, TH (通讯作者)Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

Ai, TH (通讯作者)Natl Adm Surveying Mapping & Geoinformat, Key Lab Digital Mapping & Land Informat Applicat E, Wuhan 430079, Peoples R China.

电子邮件地址: tinghuaai@whu.edu.cn

影响因子:3.4