综述光学遥感关键技术与数据集，助新手快速入门。
A High-Level Survey of Optical Remote Sensing
- 梳理光学遥感核心任务与方法，覆盖从图像处理到智能分析
- 汇总常用数据集与关键研究成果，提供实用参考信息
- 适合刚入行的研究者快速掌握领域全貌
近年来，计算机视觉的进展推动了遥感领域的快速发展。同时，无人机应用广泛普及，多数无人机默认配备RGB相机，这类传感器具备高鲁棒性且易于使用和解读。光学遥感领域的文献体量庞大，涵盖多种任务、能力与方法，每项都可独立成篇。本文提供该领域的全面概述，系统整理关键技术、代表性数据集及研究洞见，旨在为新进入该领域的研究人员提供高层次指引，帮助其聚焦感兴趣的方向。据我们所知，目前尚无综述能从这一整体视角进行系统总结。
原文摘要 · Abstract (English)
In recent years, significant advances in computer vision have also propelled progress in remote sensing. Concurrently, the use of drones has expanded, with many organizations incorporating them into their operations. Most drones are equipped by default with RGB cameras, which are both robust and among the easiest sensors to use and interpret. The body of literature on optical remote sensing is vast, encompassing diverse tasks, capabilities, and methodologies. Each task or methodology could warrant a dedicated survey. This work provides a comprehensive overview of the capabilities of the field, while also presenting key information, such as datasets and insights. It aims to serve as a guide for researchers entering the field, offering high-level insights and helping them focus on areas most relevant to their interests. To the best of our knowledge, no existing survey addresses this holistic perspective.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。