[1] NIE Guangtao, HUANG Hua. A survey on object detection technology in optical remote sensing images[J]. Acta Automatica Sinica, 47, 1749-1768(2021).

[2] WANG Jianan, GAO Yue, SHI Jun et al. Scene classification of optical high-resolution remote sensing images using vision transformer and graph convolutional network[J]. Acta Photonica Sinica, 50, 1128002(2021).

[3] NI Kang, ZHAO Yuqing, CHEN Zhi. Multi-scale convolutional neural network driven by sparse second-order attention mechanism for remote sensing scene classification[J]. Acta Photonica Sinica, 51, 0610004(2022).

[4] WANG Zijian. Multi-scale remote sensing object detection based on attention mechanism[D](2021).

[5] OSUNA E, FREUND R, GIROSIT F. Training support vector machines: an application to face detection[C], 130-136(1997).

[6] VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features[C], 511-518(2001).

[7] KAYASAL U[M]. Magnetometer aided inerital navigation system: modeling and simulation of a navigation system with an IMU and a magnetometer, 74-77(2009).

[8] NI Kang, LIU Pengfei, WANG Peng. Compact global-local convolutional network with multifeature fusion and learning for scene classification in synthetic aperture radar imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7284-7296(2021).

[9] ZHAO Yongqiang, RAO Yuan. A survey of deep learning object detection methods[J]. Journal of Image and Graphics, 25, 629-654(2020).

[10] GIRSHICK R, DONAHUE J, DARRELL T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

[11] GIRSHICK R. Fast R-CNN[C], 1440-1448(2015).

[12] REN S, HE K, GIRSHICK R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[13] HE K, GKIOXARI G, DOLLAR P et al. Mask R-CNN[C], 2961-2969(2017).

[14] REDMON J, FARHADI A. YOLO9000: better, faster, stronger[C], 7263-7271(2017).

[15] REDMON J, FARHADI A. YOLOv3: an incremental improvement[J/OL]. http://arxiv.org/abs/1804.02767

[16] LIU W, ANGUELOV D, ERHAN D et al. SSD: single shot MultiBox detector[C], 21-37(2016).

[17] FU C Y, LIU W, RANGA A et al. DSSD: deconvolutional single shot detector[J/OL]. https://arxiv.org/abs/1701.06659

[18] GUO H W, BAI H Y, YUAN Y M et al. Fully deformable convolutional network for ship detection in remote sensing imagery[J]. Remote Sensing, 14, 1850-1869(2022).

[19] HOU J Y, MA H B, WANG S J. Parallel cascade R-CNN for object detection in remote sensing imagery[J]. Journal of Physics: Conference Series, 1544, 012124(2020).

[20] LONG H, CHUNG Y, LIU Z B et al. Object detection in aerial images using feature fusion deep networks[J]. IEEE Access, 7, 30980-30990(2019).

[21] ZHANG Y K, YOU Y N, WANG R et al. Nearshore vessel detection based on Scene-mask R-CNN in remote sensing image[C], 76-80(2018).

[22] ZHANG Yongfu, SONG Hailin. Deep learning remote sensing image target detection model based on fusion features[J]. Computer Technology and Development, 31, 48-54(2021).

[23] LIU Z, LIN Y T. Swin transformer: hierarchical vision transformer using shifted windows[J/OL]. https://arxiv.org/abs/2103.14030v2

[24] XIA G S, BAI X, DING J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018).