{"title":"用于大跨度高铁沿线大规模建筑物语义分割的全注意力网络与开放数据集","authors":"Wenfan Qiao, Li Shen, Jicheng Wang, Zhilin Li","doi":"10.1080/17538947.2024.2393265","DOIUrl":null,"url":null,"abstract":"Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building information for rea...","PeriodicalId":54962,"journal":{"name":"International Journal of Digital Earth","volume":"6 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines\",\"authors\":\"Wenfan Qiao, Li Shen, Jicheng Wang, Zhilin Li\",\"doi\":\"10.1080/17538947.2024.2393265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building information for rea...\",\"PeriodicalId\":54962,\"journal\":{\"name\":\"International Journal of Digital Earth\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Digital Earth\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/17538947.2024.2393265\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Digital Earth","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/17538947.2024.2393265","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines
Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building information for rea...
期刊介绍:
The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that:
Progress visions for Digital Earth frameworks, policies, and standards;
Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery;
Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared;
Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level;
Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning;
Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and
Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.