Acta Optica Sinica, Volume. 42, Issue 18, 1828002(2022)
Small Ship Target Detection Method for Remote Sensing Images Based on Dual Feature Enhancement
[1] Zhang D J, Zhan J, Tan L F et al. Comparison of two deep learning methods for ship target recognition with optical remotely sensed data[J]. Neural Computing and Applications, 33, 4639-4649(2021).
[2] 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).
[3] Liu D, Zhang Y, Zhao Y et al. Multi-scale inshore ship detection based on feature re-focusing network[J]. Acta Optica Sinica, 41, 2215001(2021).
[4] Lin T Y, Maire M, Belongie S et al. Microsoft COCO: common objects in context[M]. Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014, 8693, 740-755(2014).
[5] Liu Z K, Yuan L, Weng L B et al. A high resolution optical satellite image dataset for ship recognition and some new baselines[C](2017).
[6] Xia G S, Bai X, Ding J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018).
[7] Wang B F, Zhao H T. Small object detection in hyperspectral images based on radial basis activation function[J]. Acta Optica Sinica, 41, 2311001(2021).
[8] Liu F, Guo M, Wang X J. Small target detection based on cross-scale fusion convolution neural network[J]. Laser & Optoelectronics Progress, 58, 0610012(2021).
[9] Xi Q, Zhang Z D, Peng L. Small target real-time detection algorithm based on improved MDSSD[J]. Laser & Optoelectronics Progress, 57, 201009(2020).
[10] Bai Y C, Zhang Y Q, Ding M L et al. SOD-MTGAN: small object detection via multi-task generative adversarial network[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11217, 206-221(2018).
[11] Rabbi J, Ray N, Schubert M et al. Small-object detection in remote sensing images with end-to-end edge-enhanced GAN and object detector network[J]. Remote Sensing, 12, 1432(2020).
[12] Wang X T, Yu K, Wu S X et al. ESRGAN: enhanced super-resolution generative adversarial networks[M]. Leal-Taixé L, Roth S. Computer vision-ECCV 2018 workshops, 11133, 63-79(2019).
[13] Bashir S M A, Wang Y. Small object detection in remote sensing images with residual feature aggregation-based super-resolution and object detector network[J]. Remote Sensing, 13, 1854(2021).
[14] Xi Y, Jia W J, Zheng J B et al. DRL-GAN: dual-stream representation learning GAN for low-resolution image classification in UAV applications[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 1705-1716(2020).
[15] Huo Q L. Research on mapping technology of domestic high-resolution optical remote sensing satellite image map[D], 1-10(2020).
[16] Park J, Lee J Y, Yoo D et al. Distort-and-recover: color enhancement using deep reinforcement learning[C], 5928-5936(2018).
[17] Dharejo F A, Zhou Y C, Deeba F et al. A remote-sensing image enhancement algorithm based on patch-wise dark channel prior and histogram equalisation with colour correction[J]. IET Image Processing, 15, 47-56(2021).
[18] Xu Y F, Zhang N, Li L et al. Joint learning of super-resolution and perceptual image enhancement for single image[J]. IEEE Access, 9, 48446-48461(2021).
[19] Hou Q B, Zhou D Q, Feng J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).
[20] 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).
[21] Chen Y P, Fan H Q, Xu B et al. Drop an octave: reducing spatial redundancy in convolutional neural networks with octave convolution[C], 3434-3443(2019).
[23] Ying M S, Feng Y, Ying S G. Optimal policies for quantum Markov decision processes[J]. International Journal of Automation and Computing, 18, 410-421(2021).
[25] Ming Q, Miao L J, Zhou Z Q et al. Optimization for arbitrary-oriented object detection via representation invariance loss[J]. IEEE Geoscience and Remote Sensing Letters, 19, 21525304(2022).
[27] 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).
[28] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C], 2999-3007(2017).
[30] Han J M, Ding J, Xue N et al. ReDet: a rotation-equivariant detector for aerial object detection[C], 2785-2794(2021).
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Zhijing Xu, Xue Bai. Small Ship Target Detection Method for Remote Sensing Images Based on Dual Feature Enhancement[J]. Acta Optica Sinica, 2022, 42(18): 1828002
Category: Remote Sensing and Sensors
Received: Jan. 7, 2022
Accepted: Feb. 28, 2022
Published Online: Sep. 15, 2022
The Author Email: Bai Xue (1185685025@qq.com)