Research on segmentation algorithm of UAV remote sensing image based on deep learning

Jian Zhou; Yu Su; Qinglan Ding; Yuhe Qiu; Qing Wang

doi:10.1117/12.2668097

23 February 2023 Research on segmentation algorithm of UAV remote sensing image based on deep learning

Jian Zhou, Yu Su, Qinglan Ding, Yuhe Qiu, Qing Wang

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512U (2023) https://doi.org/10.1117/12.2668097
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

With the rapid development of UAV technology, the research topic of remote sensing image segmentation has gradually attracted more and more attention. Whether the image can be accurately segmented is a measure of the goodness of the algorithm. In recent years, machine learning methods have been applied to a large number of fields, and deep neural network technology has also been widely used in the field of UAV remote sensing image segmentation. This paper introduces the specific applications of various deep learning methods in remote sensing image segmentation, and briefly analyzes the development of neural networks in this problem according to the research status of several typical deep neural networks in UAV remote sensing image segmentation. Research shows that on the basis of proper adjustment of optimizer, learning rate and loss function, using deep learning method to segment UAV remote sensing images, the accuracy rate can reach more than 96%.

Citation Download Citation

Jian Zhou, Yu Su, Qinglan Ding, Yuhe Qiu, and Qing Wang "Research on segmentation algorithm of UAV remote sensing image based on deep learning", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512U (23 February 2023); https://doi.org/10.1117/12.2668097

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