{"title":"SOENet：从高分辨率遥感图像中提取羊群的多分辨率网络","authors":"Lei Wang, Cheng Ye, Fang Chen, Ning Wang, Bo Yu","doi":"10.1080/17538947.2024.2368707","DOIUrl":null,"url":null,"abstract":"Sheep are a primary species in animal husbandry. Accurate sheep population counts are vital for managing husbandry practices and preventing grassland overgrazing. Current methods using UAV images a...","PeriodicalId":54962,"journal":{"name":"International Journal of Digital Earth","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SOENet: a multi-resolution network for sheep extraction from high-resolution remote sensing images\",\"authors\":\"Lei Wang, Cheng Ye, Fang Chen, Ning Wang, Bo Yu\",\"doi\":\"10.1080/17538947.2024.2368707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sheep are a primary species in animal husbandry. Accurate sheep population counts are vital for managing husbandry practices and preventing grassland overgrazing. Current methods using UAV images a...\",\"PeriodicalId\":54962,\"journal\":{\"name\":\"International Journal of Digital Earth\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-06-27\",\"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/10.1080/17538947.2024.2368707\",\"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/10.1080/17538947.2024.2368707","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}
SOENet: a multi-resolution network for sheep extraction from high-resolution remote sensing images
Sheep are a primary species in animal husbandry. Accurate sheep population counts are vital for managing husbandry practices and preventing grassland overgrazing. Current methods using UAV images a...
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.
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