林 健（讲师）
研究领域：复杂环境下红外目标检测、识别、跟踪算法。
电子邮箱：linaom1214@163.com
个人简介
林健，博士，2026年毕业于西北工业大学航天学院,博士期间入选中国科协青年人才培育工程博士生专项计划。主要从事复杂环境下红外弱小目标检测、识别与跟踪算法研究,以及模型端侧部署与嵌入式系统开发。在IEEE TGRS、ESWA、OLT等国际知名期刊发表论文10余篇,其中中科院一区TOP期刊3篇;授权/公开专利11项。Google学术引用247次,担任TGRS、ESWA、TAES、TCSVT、TNNLS等多个SCI期刊审稿人。
学术成果
[1] Lin J, Niu S, Li S, et al. State Space Model and Self-Attention for Infrared Dual-Band Small Target Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. (中科院一区TOP)
[2] Lin J, Ruan Y, Li S, et al. BPGA: Enhancing infrared small and dim target detection with background prior guide and vision graph attention[J]. Optics & Laser Technology, 2025, 192: 113867. (中科院二区TOP)
[3] Lin J, Li S, Yang X, et al. CS-ViG-UNet: Infrared small and dim target detection based on cycle shift vision graph convolution network[J]. Expert Systems with Applications, 2024, 254: 124385. (中科院一区TOP)
[4] Lin J, Li S, Zhang L, et al. IR-TransDet: Infrared dim and small target detection with IR-transformer[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-13. (中科院一区TOP)
[5] Lin J, Zhang K, Yang X, et al. Infrared dim and small target detection based on U-Transformer[J]. Journal of Visual Communication and Image Representation, 2022, 89: 103684. (中科院三区)
[6] Li S, Lin J, Yang X, et al. BPFD-Net: enhanced dehazing model based on Pix2pix framework for single image[J]. Machine Vision and Applications, 2021, 32(6): 124. (中科院四区)
[7] Yang X, Yan J, Wang W, Li S, Hu B, Lin J. Brain-inspired models for visual object recognition: an overview[J]. Artificial Intelligence Review, 2022, 55(7): 5263-5311. (中科院一区TOP)
[8] Yang J, Ye Z, Lin J, Chen D, Du L, Li S. MM-IRSTD: Conv self-attention-based multi-modal small and dim target detection in infrared dual-band images[J]. Remote Sensing, 2024, 16(21): 3937. (中科院二区TOP)
[9] 林健, 张巍巍, 张凯, 杨尧. 基于YOLOv5的红外目标检测算法[J]. 飞控与探测, 2022, 5(3): 63-71.