[1]Ding B, Zhang Y, Ma S.A Lightweight Real-Time Infrared Object Detection Model Based on YOLOv8 for Unmanned Aerial Vehicles[J]. Drones, 2024, 8, 479. https://doi.org/10.3390/drones8090479.
[2]Yue M, Zhang L, Huang J, et al.Lightweight and Efficient Tiny-Object Detection Based on Improved YOLOv8n for UAV Aerial Images[J]. Drones, 2024, 8, 276. https://doi.org/10.3390/drones8070276.
[3]Niu C, Song Y, Zhao X.SE-Lightweight YOLO: Higher Accuracy in YOLO Detection for Vehicle Inspection[J]. Appl. Sci, 2023, 13, 13052. https://doi.org/10.3390/app132413052.
[4]Chang Y, Li D, Gao Y, et al.An Improved YOLO Model for UAV Fuzzy Small Target Image Detection[J]. Appl. Sci, 2023, 13, 5409. https://doi.org/10.3390/app13095409.
[5]郝紫霄, 王琦, 高尚.基于-算法的航拍图像小目标检测改进算法[J].常州大学学报自然科学版, 2023, 35(06):45-51
[6]Qiu Z, Bai H, Chen T.Special Vehicle Detection from UAV Perspective via YOLO-GNS Based Deep Learning Network[J]. Drones, 2023, 7, 117. https://doi.org/10.3390/drones7020117.
[7]宋耀莲, 王粲, 李大焱, 等.基于改进的无人机小目标检测算法[J].浙江大学学报工学版, 2024, 58(12):2417-2426
[8]Fan Y, Qiu Q, Hou S, et al.Application of Improved YOLOv5 in Aerial Photographing Infrared Vehicle Detection[J]. Electronics, 2022, 11, 2344. https://doi.org/10.3390/electronics11152344.
[9]Reis D, Kupec J, Hong J, et al. Real-Time Flying Object Detection with YOLOv8[J]. arXiv, 2.[J].rXiv:2305.09972., 024,, :-
[10]Wang C Y, Bochkovskiy A, Liao H Y M .YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[J].arXiv e-prints, 2022.DOI:10.48550/arXiv.2207.02696.
[11] Peng J, Lv K, Wang G, et al.MLSA-YOLO: a multi-level feature fusion and scale-adaptive framework for small object detection: MLSA-YOLO: a multi-level feature fusion and scale-adaptive. : J. Peng et al[J].Journal of Supercomputing, 2025, 81(4).DOI:10.1007/s11227-025-06961-0
[12]Dong X, Jiang H, Song Y, et al.Precision Detection of Infrared Small Target in Ground-to-Air Scene[J]. Remote Sens, 2024, 16, 4230. https://doi.org/10.3390/rs16224230.
[13]Zhao Q, Cheng H .An Efficient Approach to Human Security Screening Image Recognition Through a Lightweight CNN Utilizing Yolov5s and GhostNet[J].Traitement du Signal, 2023, 40(4).DOI:10.18280/ts.400433.
[14]Wang H, Zhang Y, Zhu C .DAFPN-YOLO: An Improved UAV-Based Object Detection Algorithm Based on YOLOv8s[J].Computers, Materials & Continua, 2025, 83(2).DOI:10.32604/cmc.2025.061363.
[15]Westlake S, Volonakis T, Jackman J, et al.Deep learning for automatic target recognition with real and synthetic infrared maritime imagery[J]. 2020.DOI:10.1117/12.2573774.
[16]Jiang C, Ren H, Ye X, et al.Object Detection from UAV Thermal Infrared Images and Videos Using YOLO Models. Int. J. Appl. Earth Obs[J]. Geoinf, 2022, 112, 102912.
[17]Chen C, Zheng Z, Xu T, et al.YOLO-Based UAV Technology: A Review of the Research and Its Applications[J]. Drones, 2023, 7, 190.
[18]Zhu Z, Liu Q, Chen H, et al.Infrared Small Vehicle Detection Based on Parallel Fusion Network[J]. Acta Photonica Sinica, 2022, 51, 0210001.
[19]Mahmood M T, Ahmed S R A, Ahmed M R A.Detection of vehicle with Infrared images in Road Traffic using YOLO computational mechanism[J].IOP Conf Ser Mater Sci Eng, 2020, 928, 022027.
[20]Kasper-Eulaers M, Hahn N, Berger S, et al.Short Communication: Detecting Heavy Goods Vehicles in Rest Areas in Winter Conditions Using YOLOv5[J]. Algorithms, 2021, 14, 114.
[21]于子雯, 张宁, 潘越, 等.基于改进的算法的异源图像匹配[J].激光与光电子学进展, 2022, 59(12):214-225
[22]张松兰.基于卷积神经网络的图像识别综述[J].西安航空学院学报, 2023, 41(01):74-81
[23]谌颃, 张袖斌, 肖斌, 等.基于Faster-RCNN深度学习算法的图像识别技术研究[J].机器人产业, 2024, (03):98-102.DOI:10.19609/j.cnki.cn10-1324/tp.2024.03.019.
[24]于航, 谭炳香, 沈明潭, 等.基于机器学习算法的机载高光谱图像优势树种识别[J].自然资源遥感, 2024, 36(01):118-127
[25]操乐林, 武春风, 侯晴宇, 等.基于光谱成像的目标识别技术综述[J].光学技术, 2010, 36(01):145-150
[26]倪斌, 黄照强, 郭健, 等.基于机载和星载高光谱遥感的武夷山成矿带蚀变矿物信息识别研究[J].华东地质, 2023, 44(01):67-81
[27]王世颍, 宋显浩, 王晓丽, 等.全色和多光谱遥感图像融合下的植被覆盖度估算研究[J/OL].草业科学, 1-20[2024-12-05].http://kns.cnki.net/kcms/detail/62.1069.S.20240704.1145.003.html.
[28]任艳, 刘胜男, 陈新禹, 等.不同季节下无人机航拍图像与卫星图像匹配方法研究[J].弹箭与制导学报, 2023, 43(05):16-24
[29]于淼, 张路, 金豪, 等.基于人工智能的红外图像特征点匹配方法[J].信息记录材料, 2023, 24(03):167-169
[30]孙雪.基于U-Net的医学图像分割网络研究[D]. 南京: 南京邮电大学, 2022.
[31]Iglovikov V, Shvets A .TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation[J]. 2018.DOI:10.48550/arXiv.1801.05746.
[32]Sommer L W, Schuchert T, Jürgen Beyerer.Generating object proposals for improved object detection in aerial images[J].International Society for Optics and Photonics, 2016.DOI:10.1117/12.2241527.
[33]任守纲, 张景旭, 顾兴健, 等.时间序列特征提取方法研究综述[J].小型微型计算机系统, 2021, 42(02):271-278
[34]Wang H, Li X.Optimization of Network Security Intelligent Early Warning System Based on Image Matching Technology of Partial Differential Equation[J].Journal of Cyber Security and Mobility, 2024, 13(3):461-488
[35]Mohamed R, Mohamed T E, Ayman R, et al.Adopted image matching techniques for aiding indoor navigation[J].Ain Shams Engineering Journal, 2021, 12(4):3649-3658
[36]Nuha O, Anas T, Falah M, et al.An Efficient System for Automatic Blood Type Determination Based on Image Matching Techniques[J].Applied Sciences, 2021, 11(11):5225-5225
[37]孙泽军.机载光电系统中红外典型目标检测、识别与跟踪技术研究[D]. 南京: 南京航空航天大学, 2017.
[38]周翰祺, 方东旭, 张宁波, 等.基于深度学习的多无人机多目标跟踪网络[J/OL].计算机工程, 1-10[2024-08-03].https://doi.org/10.19678/j.issn.1000-3428.0069100.
[39]Martinez C, Richardson T, Campoy P .Towards Autonomous Air-to-Air Refuelling for UAVs using visual information[C]//Robotics and Automation (ICRA), 2013 IEEE International Conference on.IEEE, 2013.DOI:10.1109/ICRA.2013.6631404.
[40]Laurenzis M, Hengy S, Hommes A, et al.Multi-sensor field trials for detection and tracking of multiple small unmanned aerial vehicles flying at low altitude[J].Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 2017.DOI:10.1117/12.2261930.
[41]Wang X, Yang Z, Piao H, et al.Intelligent recognition method of target tactical behavior intention in air combat based on deep learning[J].Engineering Applications of Artificial Intelligence, 2024, 138.DOI:10.1016/j.engappai.2024.109460.
[42]苏珂珂.基于红外图像和辐射特性的空中目标双模识别算法研究[D]. 长春: 中国科学院大学(中国科学院长春光学精密机械与物理研究所), 2024.
[43]Wang Y, Sun X, Ding B, et al.Anti-UAV: An Improved Algorithm for Small UAV Target Detection Based on YOLOv8[C]//International Conference on Autonomous Unmanned Systems.Springer, Singapore, 2025.DOI:10.1007/978-981-96-3572-6_31.
[44]Kumar S, Kumar A, Kumar K .GhostNet-YOLO Algorithm for Object Detection in UAV Image[C]//2023 Seventh International Conference on Image Information Processing (ICIIP).0[2025-06-16].DOI:10.1109/ICIIP61524.2023.10537737.
[45]许晓阳, 高重阳.改进YOLOv7-tiny 的轻量级红外车辆目标检测算法[J].Journal of Computer Engineering & Applications, 2024, 60(1).DOI:10.3778/j.issn.1002-8331.2305-0312.
[46]苑玉彬, 吴一全, 赵朗月, 等.基于深度学习的无人机航拍视频多目标检测与跟踪研究进展[J].航空学报, 2023, 44(18):6-36
[47]韩立祥.基于红外与可见光图像融合技术的无人机对地目标检测系统设计[D]. 四川: 中国民用航空飞行学院, 2024.
[48]Chen H, Yang W, Zhou G, et al.MFRENet: efficient detection of drone image based on multiscale feature aggregation and receptive field expanded[J].Pattern Analysis and Applications, 2024, 27(4):1-13
[49]Chen X, Wang G .FP-RTDETR: enhancing infrared ship detection with multi-scale feature fusion and lightweight design[J].The Journal of Supercomputing, 2025, 81(8).DOI:10.1007/s11227-025-07485-3.
[50]Lan Z, Zhuang F, Lin Z, et al.MFO-Net: A Multiscale Feature Optimization Network for UAV Image Object Detection[J].IEEE geoscience and remote sensing letters, 2024:21.
[51]Niu C, Han D, Han B, et al.SAR-LtYOLOv8:A Lightweight YOLOv8 Model for Small Object Detection in SAR Ship Images[J].Computer Systems Science & Engineering, 2024, 48(6):1723-1748
[52]Zhu M, Hu G, Zhou H, et al.Rapid Ship Detection in SAR Images Based on YOLOv3[C]//2020 5th International Conference on Communication, Image and Signal Processing (CCISP).2020.DOI:10.1109/CCISP51026.2020.9273476.
[53]Wang W, Zhang H, Xu A.Efficient ship detection in sar images with dynamic feature smoothing and visual module using omni-dimensional dynamic large-scale convolution[J].Multimedia Tools and Applications, 2024, 83(26):68697-68721
[54]Zhao D, Zhang Z, Lu D, et al.CV-YOLO: A Complex-Valued Convolutional Neural Network for Oriented Ship Detection in Single-Polarization Single-Look Complex SAR Images[J].Remote Sensing, 2025, 17(8).DOI:10.3390/rs17081478.
[55]ZouHaochen, WangZitao.An enhanced object detection network for ship target detection in SAR images[J].The Journal of Supercomputing, 2024.DOI:10.1007/s11227-024-06136-3.
[56]赵其昌, 吴一全, 苑玉彬.光学遥感图像舰船目标检测与识别方法研究进展[J].航空学报, 2024, 45(08):51-84
[57]Fang C G, Bi Y, Wu Z Y, et al.Ship detection in SAR image based on improved YOLOv5 network[J].Proceedings of SPIE, 2023, 12604(000):7-
[58]Wang J, Lin Y, Guo J, et al.SSS-YOLO: towards more accurate detection for small ships in SAR image[J].Remote Sensing Letters[2025-06-16].DOI:10.1080/2150704X.2020.1837988.
[59]Khan H M, Yunze C .Ship Detection In SAR Image using YOLOv2[C]//第37届中国控制会议.0[2025-06-16].
[60]陈旭, 彭冬亮, 谷雨.基于改进的无人机图像实时目标检测[J].光电工程, 2022, 49(03):69-81
CJA