SOENet: a multi-resolution network for sheep extraction from high-resolution remote sensing images

IF 3.7 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Lei Wang, Cheng Ye, Fang Chen, Ning Wang, Bo Yu
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引用次数: 0

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...
SOENet:从高分辨率遥感图像中提取羊群的多分辨率网络
绵羊是畜牧业的主要物种。准确的绵羊数量统计对于管理畜牧业和防止草原过度放牧至关重要。目前的方法是利用无人驾驶飞行器的图像和...
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来源期刊
CiteScore
6.50
自引率
3.90%
发文量
88
审稿时长
3 months
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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