Smart City Gnosys
Smart city article details
| Title | Small Object Detection Based On Deep Learning For Remote Sensing: A Comprehensive Review |
|---|---|
| ID_Doc | 49077 |
| Authors | Wang X.; Wang A.; Yi J.; Song Y.; Chehri A. |
| Year | 2023 |
| Published | Remote Sensing, 15, 13 |
| DOI | http://dx.doi.org/10.3390/rs15133265 |
| Abstract | With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense objects in large remote sensing scenes. Small object detection, as a branch of object detection, remains a significant challenge in research due to the image resolution, size, number, and orientation of objects, among other factors. This paper examines object detection based on deep learning and its applications for small object detection in remote sensing. This paper aims to provide readers with a thorough comprehension of the research objectives. Specifically, we aggregate the principal datasets and evaluation methods extensively employed in recent remote sensing object detection techniques. We also discuss the irregularity problem of remote sensing image object detection and overview the small object detection methods in remote sensing images. In addition, we select small target detection methods with excellent performance in recent years for experiments and analysis. Finally, the challenges and future work related to small object detection in remote sensing are highlighted. © 2023 by the authors. |
| Author Keywords | artificial intelligence; deep learning; object detection; remote sensing |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
29113  | 0.908 | Liu J.; Liu R.; Ren K.; Li X.; Xiang J.; Qiu S. | High-Performance Object Detection For Optical Remote Sensing Images With Lightweight Convolutional Neural Networks | Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (2020) |
| 45037 | 0.898 | Bo X.; Weitao X.; Xinyao Z.; Hong H. | Remote Sensing Object Detection Via Local Parameter-Free Attention And Combined Loss; [局部无参注意力和联合损失的遥感目标检测] | Journal of Image and Graphics, 30, 3 (2025) |
| 36118 | 0.877 | Ouyang J.; Zeng L. | Magc-Yolo:Small Object Detection In Remote Sensing Images Based On Multi-Scale Attention And Graph Convolution | Proceedings of the International Joint Conference on Neural Networks (2024) |
| 18076 | 0.874 | Zhu S.; Yang K. | Deep Remote Sensing Object Detection For Smart City Applications | Proceedings - 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics, ICMIII 2024 (2024) |
| 39607 | 0.862 | Du L. | Object Detectors In Autonomous Vehicles: Analysis Of Deep Learning Techniques | International Journal of Advanced Computer Science and Applications, 14, 10 (2023) |
| 17803 | 0.856 | Dhanya D.; Jasmine R.R.; Kokila M.L.S.; Sakthivel M.; Divya N.; Boopathi S. | Deep Learning Algorithms For Object Detection In Smart Environments | Navigating Challenges of Object Detection through Cognitive Computing (2025) |
| 33790 | 0.855 | Ahmed I.; Ahmad M.; Chehri A.; Hassan M.M.; Jeon G. | Iot Enabled Deep Learning Based Framework For Multiple Object Detection In Remote Sensing Images | Remote Sensing, 14, 16 (2022) |