Ondřej Kaas, Jakub Šilhavý, Ivana Kolingerová, Václav Čada
{"title":"加速多山影分层聚类的自动轮廓提取","authors":"Ondřej Kaas, Jakub Šilhavý, Ivana Kolingerová, Václav Čada","doi":"10.1007/s10109-023-00423-y","DOIUrl":null,"url":null,"abstract":"Abstract The lineaments are linear features reflecting mountain ridges or discontinuities in the geological structure. Lineament extraction is not an easy problem. Recently, an automatic approach based on multi-hillshade hierarchic clustering (MHHC) has been developed; the approach is based on line extraction from a raster image. An essential part of this approach is spatial line segment clustering, a powerful but relatively slow tool. This paper presents a modification of MHHC, which solves the spatial line segment clustering as a facility location problem. The proposed modification is faster than MHHC while not changing the method’s core.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accelerated multi-hillshade hierarchic clustering for automatic lineament extraction\",\"authors\":\"Ondřej Kaas, Jakub Šilhavý, Ivana Kolingerová, Václav Čada\",\"doi\":\"10.1007/s10109-023-00423-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The lineaments are linear features reflecting mountain ridges or discontinuities in the geological structure. Lineament extraction is not an easy problem. Recently, an automatic approach based on multi-hillshade hierarchic clustering (MHHC) has been developed; the approach is based on line extraction from a raster image. An essential part of this approach is spatial line segment clustering, a powerful but relatively slow tool. This paper presents a modification of MHHC, which solves the spatial line segment clustering as a facility location problem. The proposed modification is faster than MHHC while not changing the method’s core.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10109-023-00423-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10109-023-00423-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Accelerated multi-hillshade hierarchic clustering for automatic lineament extraction
Abstract The lineaments are linear features reflecting mountain ridges or discontinuities in the geological structure. Lineament extraction is not an easy problem. Recently, an automatic approach based on multi-hillshade hierarchic clustering (MHHC) has been developed; the approach is based on line extraction from a raster image. An essential part of this approach is spatial line segment clustering, a powerful but relatively slow tool. This paper presents a modification of MHHC, which solves the spatial line segment clustering as a facility location problem. The proposed modification is faster than MHHC while not changing the method’s core.