论文标题
计数牛：从高分辨率卫星图像中追踪非法牛
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
论文作者
论文摘要
牛农业负责全球8.8％的温室气体排放。除了由于消化过程而发出的甲烷外，对放牧区域的需求日益增长是森林砍伐的重要驱动力。尽管有一些法规为保护亚马逊防森林砍伐而制定了适当的规定，但这些法规正在以各种方式进行吹捧，因此需要扩展和自动对牛牧场活动进行自动化。通过与\ textit {全球见证人}的合作关系，我们探讨了从卫星图像中以大陆规模进行牛跟踪和计数牛的可行性。通过Maxar Technologies的许可，我们以40厘米的分辨率获得了亚马逊的卫星图像，并编制了一个数据集的903张图像，其中包含28498牛。我们的实验显示出令人鼓舞的结果，并突出了计数算法的下一步和解决此类挑战的数据收集过程的重要方向。该代码可在\ url {https://github.com/issamlaradji/cownter_strike}中获得。
Cattle farming is responsible for 8.8\% of greenhouse gas emissions worldwide. In addition to the methane emitted due to their digestive process, the growing need for grazing areas is an important driver of deforestation. While some regulations are in place for preserving the Amazon against deforestation, these are being flouted in various ways, hence the need to scale and automate the monitoring of cattle ranching activities. Through a partnership with \textit{Global Witness}, we explore the feasibility of tracking and counting cattle at the continental scale from satellite imagery. With a license from Maxar Technologies, we obtained satellite imagery of the Amazon at 40cm resolution, and compiled a dataset of 903 images containing a total of 28498 cattle. Our experiments show promising results and highlight important directions for the next steps on both counting algorithms and the data collection process for solving such challenges. The code is available at \url{https://github.com/IssamLaradji/cownter_strike}.
