{"title":"在三维深度学习中明确纳入空间自相关性以进行地理空间物体检测","authors":"Tianyang Chen, Wenwu Tang, Craig Allan, Shen-En Chen","doi":"10.1080/24694452.2024.2380898","DOIUrl":null,"url":null,"abstract":"Three-dimensional (3D) geospatial object detection has become essential for 3D geospatial studies driven by explosive growth in 3D data. It is extremely labor- and cost-intensive, though, as it oft...","PeriodicalId":47874,"journal":{"name":"Annals of the American Association of Geographers","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explicit Incorporation of Spatial Autocorrelation in 3D Deep Learning for Geospatial Object Detection\",\"authors\":\"Tianyang Chen, Wenwu Tang, Craig Allan, Shen-En Chen\",\"doi\":\"10.1080/24694452.2024.2380898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three-dimensional (3D) geospatial object detection has become essential for 3D geospatial studies driven by explosive growth in 3D data. It is extremely labor- and cost-intensive, though, as it oft...\",\"PeriodicalId\":47874,\"journal\":{\"name\":\"Annals of the American Association of Geographers\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of the American Association of Geographers\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/24694452.2024.2380898\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the American Association of Geographers","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/24694452.2024.2380898","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Explicit Incorporation of Spatial Autocorrelation in 3D Deep Learning for Geospatial Object Detection
Three-dimensional (3D) geospatial object detection has become essential for 3D geospatial studies driven by explosive growth in 3D data. It is extremely labor- and cost-intensive, though, as it oft...
期刊介绍：
The Annals of the American Association of Geographers was first published in 1911. It is recognized as the Association''s premier journal for major research articles for all fields of geography. To be accepted, a paper must adhere to a high standard of scholarship and make an important contribution to geographic knowledge. It should also be grounded in the relevant literature of the specialization it represents and, where appropriate, establish relationships to themes within the broader discipline. Contents may include invited essays, review articles, Presidential Addresses, and memorials.
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