Small object detection in remote sensing images based on target cluster and multi-scale prediction

Shuwen Zhao; Min Wang; Longxiao Zhao

doi:10.1117/12.2641057

13 October 2022 Small object detection in remote sensing images based on target cluster and multi-scale prediction

Shuwen Zhao, Min Wang, Longxiao Zhao

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 122870W (2022) https://doi.org/10.1117/12.2641057
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

In recent years, object detection, as an important branch of computer vision, has made great progress and received attention from various fields. However, for remote sensing images with small size, arbitrary orientation and dense distribution characteristics, there are still big challenges. In this paper, we propose a multi-classification detection network for small and dense remote sensing small targets. A coarse-grained target cluster anchor frame is designed to delineate the range of target regions on remote sensing images, which effectively reduces the influence of the large-scale background on the detection network for the subsequent detection network. Meanwhile, according to the concept of multi-scale detection in SSD network, a dense convolution is applied to the multi-scale feature map after the backbone network to improve the features of small targets. Finally, the rotating anchor frame is used as the precise location of this detector, and the Focal LOSS function is used to mitigate the gradient disappearance problem in the regression process. Different panels in this model are extensively experimented on the remote sensing dataset DOTA and NWPU VHR-10 to get more excellent detection results.

Citation Download Citation

Shuwen Zhao, Min Wang, and Longxiao Zhao "Small object detection in remote sensing images based on target cluster and multi-scale prediction", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 122870W (13 October 2022); https://doi.org/10.1117/12.2641057

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KEYWORDS

Target detection

Remote sensing

Image segmentation

Convolution

Feature extraction

RGB color model

Image processing

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