Print Email Facebook Twitter A rapid and high-precision mountain vertex extraction method based on hotspot analysis clustering and improved eight-connected extraction algorithms for digital elevation models Title A rapid and high-precision mountain vertex extraction method based on hotspot analysis clustering and improved eight-connected extraction algorithms for digital elevation models Author Zheng, Zhenqi (Wuhan University; Wuhan Headquarters of Xiaomi Co., LTD) Xiao, Xiongwu (Wuhan University; Collaborative Innovation Center for Geospatial Technology) Zhong, Zhi Chao (Wuhan University) Zang, Y. (TU Delft Optical and Laser Remote Sensing; Nanjing University of Information Sciences and Technology) Yang, Nan (Harbin Institute of Technology) Tu, Jianguang (Wuhan University) Li, Deren (Wuhan University; Collaborative Innovation Center for Geospatial Technology) Date 2021 Abstract Digital Elevation Model (DEM)-based mountain vertex extraction is one of the most useful DEM applications, providing important information to properly characterize topographic features. Current vertex-extraction techniques have considerable limitations, such as yielding low-accuracy results and generating false mountain vertices. To overcome these limitations, a new approach is proposed that combines Hotspot Analysis Clustering and the Improved Eight-Connected Extraction algorithms that would quickly and accurately provide the location and elevation of mountain vertices. The use of the elevation-based Hotspot Analysis Clustering Algorithm allows the fast partitioning of the mountain vertex area, which significantly reduces data and considerably improves the efficiency of mountain vertex extraction. The algorithm also minimizes false mountain vertices, which can be problematic in valleys, ridges, and other rugged terrains. The Eight-Connected Extraction Algorithm also hastens the precise determination of vertex location and elevation, providing a better balance between accuracy and efficiency in vertex extraction. The proposed approach was used and tested on seven different datasets and was compared against traditional vertex extraction methods. The results of the quantitative evaluation show that the proposed approach yielded higher efficiency, considerably minimized the occurrence of invalid points, and generated higher vertex extraction accuracy compared to other traditional methods. Subject Contour Line and Neighborhood Analysis Overlay MethodContour Line MethodDigital Elevation Model (DEM)Hotspot Analysis ClusteringImproved Eight-Connected AlgorithmMountain Vertex Extraction To reference this document use: http://resolver.tudelft.nl/uuid:2b31641a-f76f-410c-9bfa-5965a33494ef DOI https://doi.org/10.3390/rs13010081 ISSN 2072-4292 Source Remote Sensing, 13 (1), 1-35 Part of collection Institutional Repository Document type journal article Rights © 2021 Zhenqi Zheng, Xiongwu Xiao, Zhi Chao Zhong, Y. Zang, Nan Yang, Jianguang Tu, Deren Li Files PDF remotesensing_13_00081_v3.pdf 19.46 MB Close viewer /islandora/object/uuid:2b31641a-f76f-410c-9bfa-5965a33494ef/datastream/OBJ/view