Infrared Technology, Volume. 47, Issue 5, 640(2025)
Infrared Detection of Defects in Aircraft Composite Materials Based on Improved YOLOv7-FSE Algorithm
[3] [3] LIU B W, XIANG H X, ZHONG M, et al. Detection of depth-dependent defects in carbon-fiber-reinforced polymer composites by terahertz time-domain spectroscopy[J].Russian Journal of Nondestructive Testing, 2021,57(5): 417-422.
[4] [4] ZHONG M, LIU B W, LI C, et al. Terahertz spectroscopy and imaging detection of defects in civil aircraft composites[J].Journal of Spectroscopy, 2020,2020: 2312936.
[6] [6] BAO C, CAO J, HAO Q, et al. Dual-YOLO architecture from infrared and visible images for object detection[J].Sensors, 2023,23(6): 2934-2942.
[7] [7] Kabouri A, Khabbazi A, Youlal H. Applied multiresolution analysis to infrared images for defects detection in materials[J].NDT & E International, 2017,92: 38-49.
[8] [8] ZHANG J, WEI X, ZHANG L, et al. YOLO v7-ECA-PConv-NWD detects defective insulators on transmission lines[J].Electronics, 2023,12(18): 3969.
[9] [9] ZHOU J, ZHANG B, YUAN X, et al. YOLO-CIR: The network based on YOLO and ConvNeXt for infrared object detection[J].Infrared Physics & Technology, 2023,131: 104703.
[10] [10] CAO L, ZHENG X, FANG L. The semantic segmentation of standing tree images based on the YOLOv7 deep learning algorithm[J].Electronics, 2023,12(4): 929-936.
[11] [11] ZHANG L, XIONG N, PAN X, et al. Improved object detection method utilizing YOLOv7-Tiny for unmanned aerial vehicle photographic imagery[J].Algorithms, 2023,16(11): 520-531.
[12] [12] HUANG Z, WANG J, FU X, et al. DC-SPP-YOLO: Dense connection and spatial pyramid pooling based YOLO for object detection[J].Information Sciences, 2020,522: 241-258.
[13] [13] Diwan T, Anirudh G, Tembhurne J V. Object detection using YOLO: Challenges, architectural successors, datasets and applications[J].Multimedia Tools and Applications, 2023,82(6): 9243-9275.
[14] [14] LI J, YE J. Edge-YOLO: Lightweight infrared object detection method deployed on edge devices[J].Applied Sciences, 2023,13(7): 4402-4413.
[15] [15] JIANG C, REN H, YE X, et al. Object detection from UAV thermal infrared images and videos using YOLO models[J].International Journal of Applied Earth Observation and Geoinformation, 2022,112(3): 102912-102925.
[16] [16] LI L, JIANG L, ZHANG J, et al. A complete YOLO-based ship detection method for thermal infrared remote sensing images under complex backgrounds[J].Remote Sensing, 2022,14(7): 1534-1535.
[17] [17] WEI Xuan, WEI Yun, LU Xiaobo. HD-YOLO: Using radius-aware loss function for head detection in top-view fisheye images[J].Journal of Visual Communication and Image Representation, 2023,90(3): 103715-103723.
[18] [18] JIANG D, LI G, TAN C, et al. Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model[J].Future Generation Computer Systems, 2021,123: 94-104.
[19] [19] JU M, LUO H, WANG Z, et al. The application of improved YOLOv3 in multi-scale target detection[J].Applied Sciences, 2019,9(18): 3775.
[21] [21] DU S, ZHANG B, ZHANG P, et al. FA-YOLO: An improved YOLO model for infrared occlusion object detection under confusing background[J].Wireless Communications and Mobile Computing, 2021,2021: 1-10.
[23] [23] MAO F, JING L, JIAN Y, et al. A grain boundary defects detection algorithm with improved localization accuracy based on efficient det[J].Automatic Control and Computer Sciences, 2023,57(1): 81-92.
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ZHANG Huazhong, DENG Xu, LI Fei, YANG Rong, ZHONG Mian. Infrared Detection of Defects in Aircraft Composite Materials Based on Improved YOLOv7-FSE Algorithm[J]. Infrared Technology, 2025, 47(5): 640