1. Xunxun Zhang. ComS-YOLO: a combinational and sparse network for detecting vehicles in aerial thermal infra-red images[J], Journal of Applied Remote Sensing, 2024, 18(1):014508. 2.Xunxun Zhang. A complementary and precise vehicle detection approach in RGB-T images via semi-supervised transfer learning and decision-level fusion[J]. International Journal of Remote Sensing, 2022, 43(1):196-214. 3.Xunxun Zhang. Vehicle fusion detection in visible and infrared thermal images via spare network and dynamic weight coefficient-based Dempster–Shafer evidence theory [J]. Journal of Applied Remote Sensing, 2022. 4.Xunxun Zhang, Xu Zhu. Moving vehicle detection in aerial infrared image sequences via fast image registration and improved YOLOv3 network[J]. International Journal of Remote Sensing, 2020, 41(11):4312-4335. 5.Xunxun Zhang, Xu Zhu. Efficient and de-shadowing approach for multiple vehicles tracking in aerial video via image segmentation and local region matching[J]. Journal of Applied Remote Sensing, 2020, 14(1):014503. 6.Xunxun Zhang, Xu Zhu and Li Li. Computation of Time Delay Stability Margin for the Automated Vehicular Platoon[J]. Complexity, 2020. 7.Xunxun Zhang, Xu Zhu. An efficient and scene-adaptive vehicle detection algorithm in aerial images via improved YOLOv3 framework[J]. ISPRS International Journal of Geo-Information, 2019, 8(11):1-11. 8.Zhang Xunxun, Xu Hongke. An Efficient and Flexible Approach for Multiple Vehicles Tracking in the Aerial Video Sequence[J], International Journal of Remote Sensing, 2018, 39(19): 6234–6265. 9.Zhang Xunxun, Xu Hongke, Fang Jianwu. Multiple Vehicles Tracking in Aerial Video Sequence using Driver Behavior Analysis and Improved Deterministic Data Association[J]. Journal of Applied Remote Sensing, 2018, 12(1): 016014. |