[3] Q P LI, L C MOU, Q Q LIU et al. HSF-Net: multiscale deep feature embedding for ship detection in optical remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 56, 7147-7161(2018).
[4] GU D, XU X. Multifeature extraction of ships from SAR images[C]Proceedings of the 6th International Congress on Image Signal Processing (CISP)Vol. 2 . Hangzhou, China: IEEE, 2013, 1: 454458.
[7] I CHALABI. Application of CFAR detection to multiple pulses for gamma distributed clutter. Remote Sensing Letters, 13, 1011-1019(2022).
[8] ALAMPIDIS D, STEIN G W. Target detection based on multiresolution fractal analysis[C]Proceedings of Signal Processing, Sens Fusion, Target Recognition XVI. SPIE Vol. 6567. lo, Flida, USA: SPIE International Society f Optics Photonics, 2007: 512519.
[10] M HARIS, A GLOWACZ. Road object detection: a com-parative study of deep learning-based algorithms. Electronics, 10, 1932(2021).
[11] A BOUKERCHE, Z J HOU. Object detection using deep learning methods in traffic scenarios. ACM Computing Surveys (CSUR), 54, 1-35(2021).
[13] Z A MUSTAFA, B A IBRAHEEM, A K GISSMALLAH et al. Noise reduction for magnetic resonance imaging by using edge detection and hybrid mean Lee filter techniques. Journal of Clinical Engineering, 48, 21-28(2023).
[14] BUADES A, COLL B, MEL JM. A nonlocal algithm f image denoising[C]Proceedings of 2005 IEEE Computer Society Conference on computer vision pattern recognition (CVPR''05)Vol. 2 . San Diego, CA, USA: IEEEE, 2005.
[15] D L DONOHO. De-noising by soft-thresholding. IEEE transactions on information theory, 41, 613-627(1995).
[17] N WANG, T K CHEN, S M LIU et al. Deep learning-based visual detection of marine organisms: a survey. Neurocomputing, 532, 1-32(2023).
[18] T K CHEN, N WANG, R F WANG et al. One-stage CNN detector-based benthonic organisms detection with limited training dataset. Neural Networks, 144, 247-259(2021).
[20] GENG X M, ZHAO L L, SHI L. Smallsized ship detection nearshe based on lightweight active learning model with a small number of labeled data f SAR imagery[J]. Remote Sensing, 2021, 13(17): 3400.
[21] J M HU, X Y ZHI, T J SHI et al. PAG-YOLO: A portable attention-guided YOLO network for small ship detection. Remote Sensing, 13, 3059(2021).
[22] T W ZHANG, X L ZHANG, J W LI et al. SAR ship detec-tion dataset (SSDD): official release and comprehensive data analysis. Remote Sens., 13, 3690(2021).
[24] J FROMENT. Parameter-free fast pixelwise non-local means denoising. Image Processing, 4, 300-326(2014).
[25] TAN M X, PANG R M, LE Q V. EfficientDet: scalable efficient object detection[C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition. Seattle, WA, USA: IEEE, 2020: 10778–1078.
