基本信息：
姓名：张腾达
籍贯：辽宁省阜新蒙古族自治县
出生年月：1995.8
政治面貌：中共党员
个人邮箱：158055424@qq.com
科研简历：
张腾达，副教授，研究方向主要为基于深度学习的遥感影像解译与预处理。曾参与多项横纵向课题。在遥感及计算机科学TOP期刊发表论文多篇，并担任TGRS、JSTAR等多个期刊审稿人。
教育经历：
2022.09-2025.12 博士 辽宁工程技术大学，测绘科学与技术
2019.08-2022.06 硕士 辽宁工程技术大学，测绘科学与技术
2014.09-2018.07 学士 辽宁工程技术大学，人文地理与城乡规划
工作经历：
2026.01--今 辽宁工程技术大学 测绘与地理科学学院 副教授
研究方向：
深度学习、计算机视觉、遥感影像解译、遥感影像预处理
代表性论文：
1. Zhang T, Dai J, Wu Y, et al. Thin Cloud Removal Method Based on Low-Frequency Residual Diffusion and High-Frequency Modulation Refinement by Laplacian Pyramid Decoupling[J]. IEEE Transactions on Geoscience and Remote Sensing, 2026.
2. Zhang T, Dai J, Cheng J. Unsupervised conversion method of high bit-depth remote sensing images using contrastive learning[J]. Knowledge-Based Systems, 2025.
3. Zhang T, Dai J, Hu Q. Dynamic range compression method for high radiometric resolution remote sensing images using contrastive learning[J]. Expert Systems with Applications, 2025.
4. Zhang T, Dai J, Cheng J, et al. RRCGAN: Unsupervised compression of radiometric resolution of remote sensing images using contrastive learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.
5. Zhang T, Dai J, Song W, et al. OSLPNet: A neural network model for street lamp post extraction from street view imagery[J]. Expert Systems with Applications, 2023.
6. Zhang T, Dai J, Li Y, et al. Vector data partition correction method supported by deep learning[J]. International Journal of Remote Sensing, 2022.
7. Ren D, Hu Q, Zhang T. EKLT: Kolmogorov-Arnold attention-driven LSTM with Transformer model for river water level prediction[J]. Journal of Hydrology, 2025.
8. Dai J, Shi N, Zhang T, et al. TCME: Thin Cloud removal network for optical remote sensing images based on Multi-dimensional features Enhancement[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024.
9. Xu P, Dai J, Zhang T, et al. CWBSNetFA Segmentation Network for Comple Water Bodies in Remote Sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.
10. Wu Y, Dai J, Ma Z, Zhang T. A Diffusion Model for Hyperspectral and Multispectral Fusion Guided by Prior Knowledge[J]. International Journal of Applied Earth Observation and Geoinformation, 2025.
11. Chang J, Dai J, Zhang T. RADiffSR: A Diffusion Model for Remote Sensing Image Super-Resolution Fusing Residual Attention and Cross-Scale Dynamic Gating[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
12. Wu Y, Dai J, Zhu Y, Zhang T. Intelligent Agricultural Greenhouse Extraction Method Based on Multi-Feature Modeling: Fusion of Geometric, Spatial, and Spectral Characteristics[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
13. Dai J, Ding L, Zhang T, et al. RCFC: Radiometric Resolution Compression of Remote Sensing Images Considering Feature Reconstruction and Color Consistency[J]. Digital Signal Processing, 2025.
14. Chen T, Dai J, Dong B, Zhang T, et al. Road marking defect detection based on CFG_SI_YOLO network[J]. Digital Signal Processing, 2024.
15. Wu Y, Dai J, Zhang T, et al. IOA-YOLO: detection of illegal overhead cables based on linear enhancement and dual perception[J]. Signal, Image and Video Processing, 2025.
16. Dai J, Gong L, Zhang T, et al. Mountainous road vector data update method based on matching point pair grouping[J]. International Journal of Remote Sensing, 2024.
17.戴激光,潘俞辛*,吴玉洁,张腾达,王劲翔.复杂场景下行道灌木丛病害的检测方法.遥感信息, 2025.
科研项目：
1.窨井盖病害细粒度识别及跨域迁移方法研究，辽宁省基本科研业务费（辽宁工程技术大学博士育苗项目），时间：2024/09-2025/9，主持；
2.顾及特征差异性的农村区域道路提取的方法研究，国家自然科学基金面上项目，时间：2021/01-2024/12，参与；
3.矢量数据引导下的乡村级道路信息更新方法研究，辽宁省基本科研业务费，时间：2019/09-2022/09，参与；
4.遥感影像智能预处理，政府委托项目，时间：2025/6-2025/12，参与；
5.作物遥感与服务商实时库存管理项目，企业委托项目，时间：2025/7-2025/12，参与；
6.城市管理事件信息采集与服务关键技术研究，企业委托项目，时间：2023/05-2023/12，参与；
7.城市时空信息采集与服务关键技术研究，企业委托项目，时间：2021/07-2022/06，参与；
8.多源光学卫星传感器校正产品标准化处理子系统工程化，政府委托项目，时间：2021/04-2021/12，参与；
9.湖北省农村公路数字化，企业委托项目，时间：2020/06-2020/09，参与；
