[1] Dai Y, Yi B S, Xiao J S et al. Object detection of remote sensing image based on improved rotation region proposal network[J]. Acta Optica Sinica, 40, 0111020(2020).

[2] Dong Y F, Zhang C T, Wang P et al. Airplane detection of optical remote sensing images based on deep learning[J]. Laser & Optoelectronics Progress, 57, 041007(2020).

[3] Wang Y N, Wang X L. Remote sensing image target detection model based on attention and feature fusion[J]. Laser & Optoelectronics Progress, 58, 0228003(2021).

[4] Xu J F, Zhang B M, Yu D H et al. Aircraft target change detection for high-resolution remote sensing images using multi-feature fusion[J]. Journal of Remote Sensing, 24, 37-52(2020).

[5] Huang W, Li G Y, Chen Q Q et al. CF2PN: a cross-scale feature fusion pyramid network based remote sensing target detection[J]. Remote Sensing, 13, 847(2021).

[6] Qiu H Q, Li H L, Wu Q B et al. A2RMNet: adaptively aspect ratio multi-scale network for object detection in remote sensing images[J]. Remote Sensing, 11, 1594(2019).

[7] Chen C Y, Gong W G, Chen Y L et al. Object detection in remote sensing images based on a scene-contextual feature pyramid network[J]. Remote Sensing, 11, 339(2019).

[8] Wang C Y, Liao H Y M, Wu Y H et al. CSPNet: A new backbone that can enhance learning capability of CNN[C], 390-391(2020).

[9] Bochkovskiy A, Wang C Y, Liao H Y M. YOLOv4: optimal speed and accuracy of object detection[EB/OL]. https://arxiv.org/abs/2004.10934

[10] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11211, 3-19(2018).

[11] Liu S, Qi L, Qin H F et al. Path aggregation network for instance segmentation[C], 8759-8768(2018).

[12] Yang X, Yan J C. Arbitrary-oriented object detection with circular smooth label[M]. Vedaldi A, Bischof H, Brox T, et al. Computer vision-ECCV 2020, 12353, 677-694(2020).

[13] Müller R, Kornblith S, Hinton G E. When does label smoothing help?[EB/OL]. https://arxiv.org/abs/1906.02629

[14] Long Y, Gong Y P, Xiao Z F et al. Accurate object localization in remote sensing images based on convolutional neural networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 2486-2498(2017).

[15] Zhang Y L, Yuan Y, Feng Y C et al. Hierarchical and robust convolutional neural network for very high-resolution remote sensing object detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 5535-5548(2019).