A review of deep learning object detection methods for remote sensing images

Xueying Wang; Weishan Lu; Feng Zhang; Yuan Huang; Zhichao Sha; Shilin Zhou

doi:10.1117/12.3008145

18 December 2023 A review of deep learning object detection methods for remote sensing images

Xueying Wang, Weishan Lu, Feng Zhang, Yuan Huang, Zhichao Sha, Shilin Zhou

Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 129631Q (2023) https://doi.org/10.1117/12.3008145
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.

Citation Download Citation

Xueying Wang, Weishan Lu, Feng Zhang, Yuan Huang, Zhichao Sha, and Shilin Zhou "A review of deep learning object detection methods for remote sensing images", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 129631Q (18 December 2023); https://doi.org/10.1117/12.3008145

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