The data obtained with remote sensing sensors are processed to fuel studies related to the Earth's resources and environment. Sensor technologies being developed are increasing the diversity and capabilities of remote sensing data. However, these advancements are also multiplying the volume of information enormously, straining resources for processing the data. Meanwhile, the analysis and interpretation of most satellite data have not yet been fully automated, and human intervention is still necessary at certain stages. In addition, recent deep-learning methods that offer solutions to many remote sensing problems require a large amount of labeled data.

中文翻译：

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遥感中的众包：应用回顾和未来方向

使用遥感传感器获得的数据被处理以推动与地球资源和环境相关的研究。正在开发的传感器技术正在增加遥感数据的多样性和能力。然而，这些进步也极大地增加了信息量，使处理数据的资源变得紧张。同时，大部分卫星数据的分析解释还没有完全自动化，在某些阶段仍然需要人工干预。此外，最近为许多遥感问题提供解决方案的深度学习方法需要大量标记数据。