无人机遥感图像处理技术研究及应用

摘    要
本文主要研究基于深度学习的无人机遥感图像处理技术，在农业、环境保护和建筑领域中得到广泛应用。本文首先介绍了遥感图像采集和预处理技术及无人机遥感图像采集的特点和难点，然后探讨了深度学习在无人机遥感图像处理中的应用，包括基于深度学习的无人机遥感图像分割和分类技术研究。最后，本文提出了无人机遥感图像处理技术在农业、环境保护和建筑领域的应用案例，展示了无人机遥感图像处理技术的实际应用价值。本研究可为无人机遥感图像处理技术的应用和推广提供参考。

关键词：无人机遥感图像、深度学习、图像分割

Abstract 

This paper mainly studies the UAV remote sensing image processing technology based on deep learning, which has been widely used in the fields of agriculture, environmental protection and construction. This article first introduces remote sensing image acquisition and preprocessing techniques, as well as the characteristics and difficulties of unmanned aerial vehicle remote sensing image acquisition. Then, it explores the application of deep learning in unmanned aerial vehicle remote sensing image processing, including research on unmanned aerial vehicle remote sensing image segmentation and classification technology based on deep learning. Finally, this paper presents the application cases of UAV remote sensing image processing technology in the fields of agriculture, environmental protection and construction, which shows the practical application value of UAV remote sensing image processing technology. This study can provide reference for the application and promotion of unmanned aerial vehicle remote sensing image processing technology.

Keyword: Unmanned aerial vehicle remote sensing images、Deep learning、Image segmentation


目    录
1引言 1
2理论基础 1
2.1遥感图像采集原理 1
2.2遥感图像预处理技术 2
2.3 无人机遥感图像采集的特点与难点 3
3 基于深度学习的无人机遥感图像处理技术研究 3
3.1 深度学习在无人机遥感图像处理中的应用 3
3.2基于深度学习的无人机遥感图像分割技术研究 4
3.3基于深度学习的无人机遥感图像分类技术研究 5
4无人机遥感图像处理技术的应用 6
4.1农业领域应用 6
4.2环境保护领域应用 7
4.3建筑领域应用 8
5结论 8
参考文献 10

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