Scale normalization and lightweight FPN for small object detection in aerial images

Haokun Wei; Jingyi Liu; Jinyong Chen; Yuxin Sun; Boce Chu; Jin Zhu

doi:10.1117/12.3008219

14 November 2023 Scale normalization and lightweight FPN for small object detection in aerial images

Haokun Wei, Jingyi Liu, Jinyong Chen, Yuxin Sun, Boce Chu, Jin Zhu

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129340X (2023) https://doi.org/10.1117/12.3008219
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

The detection of small objects by oriented bounding box in aerial images is a recent hot topic. However, since the aerial images are not collected at the same height, the Ground Sample Distance (GSD) is different for each image, so that small objects are easily overlooked. Existing algorithms are designed for multi-scale object detection, and feature fusion is time-consuming, resulting in a large amount of model parameters that is not easy to deploy on embedded devices. We propose three methods to address the above problems. First, we scale the collected aerial images to the same scale according to the GSD value. Second, we change the structure of Feature Pyramid Network (FPN) and only keep the necessary low-level feature maps. Finally, we rescale the anchor for the specific scene. We validate our proposed method on the DOTA dataset. The results show that the modified model using our method can identify more small-scale objects, and the maximum number of model parameters can be reduced by 2.7%, the inference speed can be increased by 13.24%, and the model size was reduced by up to 28% when the detection accuracy is the same as the original algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haokun Wei, Jingyi Liu, Jinyong Chen, Yuxin Sun, Boce Chu, and Jin Zhu "Scale normalization and lightweight FPN for small object detection in aerial images", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129340X (14 November 2023); https://doi.org/10.1117/12.3008219

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KEYWORDS

Object detection

Education and training

Image fusion

Feature fusion

Data modeling

Detection and tracking algorithms

Instrument modeling

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