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  1. Artikel ; Online: Camera Geolocation Using Digital Elevation Models in Hilly Area

    Zhibin Pan / Jin Tang / Tardi Tjahjadi / Xiaoming Xiao / Zhihu Wu

    Applied Sciences, Vol 10, Iss 6661, p

    2020  Band 6661

    Abstract: The geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly ... ...

    Abstract The geolocation of skyline provides an important application in unmanned vehicles, unmanned aerial vehicles, and other fields. However, the existing methods are not effective in hilly areas. In this paper, we analyze the difficulties to locate in hilly areas and propose a new geolocation method. According to the vegetation in hilly area, two new skyline features, enhanced angle chain code and lapel point, are proposed. In order to deal with the skyline being close to the camera, we also propose a matching method which incorporates skyline distance heatmap and skyline pyramid. The experimental results show that the proposed method is highly effective in hilly area and has a robust performance against noise and rotation effects.
    Schlagwörter enhanced angle chain code ; lapel point ; distance heatmap ; skyline pyramid ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Sprache Englisch
    Erscheinungsdatum 2020-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: A Novel Rapid Method for Viewshed Computation on DEM through Max-Pooling and Min-Expected Height

    Zhibin Pan / Jin Tang / Tardi Tjahjadi / Zhihu Wu / Xiaoming Xiao

    ISPRS International Journal of Geo-Information, Vol 9, Iss 633, p

    2020  Band 633

    Abstract: Viewshed computation of a digital elevation model (DEM) plays an important role in a geographic information system, but the required high computational time is a serious problem for a practical application. Hitherto, the mainstream methods of viewshed ... ...

    Abstract Viewshed computation of a digital elevation model (DEM) plays an important role in a geographic information system, but the required high computational time is a serious problem for a practical application. Hitherto, the mainstream methods of viewshed computing include line-of-sight method, reference planes method, etc. Based on these classical algorithms, a new algorithm for viewshed computation is proposed in this paper: the Matryoshka doll algorithm. Through a pooling operation, the minimum expected height of the DEM is introduced as max-pooling with minimum expected height in the viewshed computing optimization. This is to increase the efficiency and adaptability of the computation of the visibility range. The experimental results demonstrate that the algorithm has obvious advantages in computing speed, but with the accuracy only slightly reduced.
    Schlagwörter viewshed computation ; DEM ; max-pooling ; minimum expected height ; Geography (General) ; G1-922
    Thema/Rubrik (Code) 518
    Sprache Englisch
    Erscheinungsdatum 2020-10-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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