[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] Li Z Q, Zhu R F, Ma J Y et al. Airport detection method combined with continuous learning of residual-based network on remote sensing image[J]. Acta Optica Sinica, 40, 1628005(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] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C], 936-944(2017).

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

[6] Ghiasi G, Lin T Y, le Q V. NAS-FPN: learning scalable feature pyramid architecture for object detection[C], 7029-7038(2019).

[7] Wu G M, Chen Q, Shibasaki R et al. High precision building detection from aerial imagery using a U-net like convolutional architecture[J]. Acta Geodaetica et Cartographica Sinica, 47, 864-872(2018).

[8] Deng Z P, Sun H, Zhou S L et al. Multi-scale object detection in remote sensing imagery with convolutional neural networks[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 145, 3-22(2018).

[9] Azimi S M, Vig E, Bahmanyar R et al. Towards multi-class object detection in unconstrained remote sensing imagery[EB/OL]. https://arxiv.org/abs/1807.02700

[10] Zhou K B, Zhang Z X, Gao C X et al. Rotated feature network for multiorientation object detection of remote-sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 18, 33-37(2021).

[11] Yao Q L, Hu X, Lei H. Object detection in remote sensing images using multiscale convolutional neural networks[J]. Acta Optica Sinica, 39, 1128002(2019).

[12] Yang X, Yang J R, Yan J C et al. SCRDet: towards more robust detection for small, cluttered and rotated objects[C], 8231-8240(2019).

[13] Hu H, Gu J Y, Zhang Z et al. Relation networks for object detection[C], 3588-3597(2018).

[14] 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. Lecture notes in computer science, 11211, 3-19(2018).

[15] Hu J, Shen L, Albanie S et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

[16] Wang C, Bai X, Wang S et al. Multiscale visual attention networks for object detection in VHR remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 16, 310-314(2019).

[17] Yu F, Koltun V. Multi‑Scale context aggregation by dilated convolutions[EB/OL]. https://arxiv.org/abs/1511.07122

[18] 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).

[19] Xiao Z F, Liu Q, Tang G F et al. Elliptic Fourier transformation-based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images[J]. International Journal of Remote Sensing, 36, 618-644(2015).

[20] Xia G S, Bai X, Ding J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018).

[21] Dai J F, Li Y, He K M et al. R-FCN: object detection via region-based fully convolutional networks[C], 379-387(2016).

[22] Xu Z Z, Xu X, Wang L et al. Deformable ConvNet with aspect ratio constrained NMS for object detection in remote sensing imagery[J]. Remote Sensing, 9, 1312(2017).

[23] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[24] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C], 6517-6525(2017).

[25] Gu X, Kong L B, Wang Z C et al. A light-weight object detection framework with FPA module for optical remote sensing imagery[C], 109-115(2020).

[26] Wang P J, Sun X, Diao W H et al. FMSSD: feature-merged single-shot detection for multiscale objects in large-scale remote sensing imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 58, 3377-3390(2020).