遥感中的基础模型：从单模态到多模态的演变
Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
AI总结：
本文探讨了遥感中基础模型从单模态到多模态的演变，旨在为研究人员提供深入理解与应用指导。
摘要：
遥感（RS）技术在加深我们对地球的理解方面变得越来越关键。随着RS数据的体积和多样性呈指数级增长，迫切需要先进的数据建模和理解能力来有效管理和解释这些庞大的数据集。基础模型提供了显著的新增长机会和巨大的潜力，能够革新遥感领域。在本文中，我们对遥感中的基础模型进行了全面的技术调查，通过探索其从单模态到多模态的演变，提供了一个全新的视角。我们希望这项工作能为对基础模型和遥感感兴趣的学者提供有价值的切入点，帮助他们启动新项目或探索新的研究课题。这项调查回答了以下三个关键问题：什么是遥感中的基础模型？为什么在遥感中需要基础模型？如何有效指导初级研究人员全面而实际地理解遥感中的基础模型应用？更具体地说，我们首先概述了背景和动机，强调了基础模型在遥感中的重要性。然后回顾了现有的遥感基础模型，系统地将其分为单模态和多模态方法。此外，我们还提供了一个教程式的部分，指导研究人员，特别是初学者，如何在遥感中训练基础模型并应用于实际任务。调查旨在为遥感研究人员提供更深入和更高效的对基础模型的理解，使他们能够轻松地开始并有效地将这些模型应用于各种遥感应用。
英文摘要：
Remote sensing (RS) techniques are increasingly crucial for deepening our understanding of the planet. As the volume and diversity of RS data continue to grow exponentially, there is an urgent need for advanced data modeling and understanding capabilities to manage and interpret these vast datasets effectively. Foundation models present significant new growth opportunities and immense potential to revolutionize the RS field. In this paper, we conduct a comprehensive technical survey on foundation models in RS, offering a brand-new perspective by exploring their evolution from unimodality to multimodality. We hope this work serves as a valuable entry point for researchers interested in both foundation models and RS and helps them launch new projects or explore new research topics in this rapidly evolving area. This survey addresses the following three key questions: What are foundation models in RS? Why are foundation models needed in RS? How can we effectively guide junior researchers in gaining a comprehensive and practical understanding of foundation models in RS applications? More specifically, we begin by outlining the background and motivation, emphasizing the importance of foundation models in RS. We then review existing foundation models in RS, systematically categorizing them into unimodal and multimodal approaches. Additionally, we provide a tutorial-like section to guide researchers, especially beginners, on how to train foundation models in RS and apply them to real-world tasks. The survey aims to equip researchers in RS with a deeper and more efficient understanding of foundation models, enabling them to get started easily and effectively apply these models across various RS applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
