張 彤
博士, 副教授
研究興趣
2 高效能雲地理計算
2 遙感影像解譯與檢索
2 交通地理中的最佳化決策
教育經歷
2 工學碩士 2000.9-2003.6 武漢大學
2 博士 2004.1-2007.12 聖地亞哥州立大學/加州大學聖巴巴拉分校
在研課題
2 主持 國家自然基金重大研究計畫培育項目《空間網路分散式虛擬存儲與管理的理論和方法》
2 主持 國家自然科學基金面上項目《大規模時變區域覆蓋最佳化建模及其高性能求解》
2 主持 空間信息智慧型感知與服務深圳市重點實驗室開放基金《複雜網路應急服務覆蓋建模與可靠性分析》
2 參與 國家重點基礎研究發展計畫《高解析度遙感影像的智慧型檢索與線上服務》
主要論文
2Zhang, T., and Tsou, M.-H. (2009). Developing Grid-enabled Spatial Web Portal for InternetGIServicesand Geospatial Cyberinfrastructure.International Journal of Geographical Information Science23(5): 605-630 (SCI).
2Wang, H,Zhang, T.*, Tang, X., and Liu. Y. (2010). Building a Dynamic, Large-scale Spatial-temporal Vector Database to Support a National Spatial Data Infrastructure in China.GIScience and Remote Sensing47(1): 135-162. (SCI). (* Corresponding author).
2Zhang, T., Tsou, M.-H.,Qiao, Q., and Hu, B. (2010). Designing Integrated High Performance Web Portals for GIScience Research.Journal of Internet Technology 11(6): 809-820. (SCI).
2Li, Q., Zeng, Z.,Zhang, T., Li, J., and Wu, Z. (2011). Path Finding through Flexible Hierarchical Road Networks: An Experienced Approach using Taxi Trajectory Data.International Journal of Applied Earth Observation andGeoinformation13(1):110-119. (SCI).
2Li, Q.,Zhang, T.*, Wang, H., and Zeng, Z. (2011). Dynamic Accessibility Mapping Using Floating Car Data: A Network-constrained Density Estimation Approach.Journal of Transport Geography19(3):379-393. (SSCI). (* Corresponding author).
2Li, Q.,Zhang, T.*, and Yu, Y. (2011). Using Cloud Computing to Process Intensive Floating Car Data for Urban Traffic Surveillance.International Journal of Geographical Information Science25(8): 1303-1322. (SCI). (* Corresponding author).
2Shen, S.,Zhang, T.*, Wu, H., and Liu, Z. (2012). A Catalogue Service forGIServicesSupporting Active Registration and Real-Time Quality Monitoring.Transactions in GIS16(6): 745-761. (SSCI). (* Corresponding author).
2Ji, S.,Zhang, T.*, Guan, Q., and Li, J. (2013). Non-linear Intensity Correlation for Multi-temporal Remote Sensing Images.International Journal of Applied Earth Observation andGeoinformation21: 436-443. (SCI). (* Corresponding author).
2Wu, H.,Zhang, T., Gong, J. (2014).GeoComputationfor Geospatial Big Data.Transactions in GIS18 (S1): 1–2. (SSCI).
2Zhang, T., and Li, J. (2015). Online Task Scheduling for LiDAR Data Preprocessing on Hybrid GPU/CPU Devices: A Reinforcement Learning Approach.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing8(1): 386–397. (SCI).
2Chen, J.,Zhang, T.*, Dong, S., andXie, B. (2015). Fast Registration of Multi-source Three dimensional City Models inGeoGlobes.International Journal of Digital Earth8(4): 293-311. (SCI). (* Corresponding author).
2Zhang, T., Yan, W., Su, C., and Ji, S. (2015). Accurate Object Retrieval for High-resolution Remote Sensing Imagery using High Order Topic Consistency Potentials.International Journal of Remote Sensing36(16): 4250-4273. (SCI).
2Zhang, T, Hua, G., andLigmann-Zielinska, A. (2015). Visually-driven Parallel Solving of Multi-objective Land-use Allocation Problems: A Case Study in Chelan, Washington.Earth Science Informatics8(4): 809-825. (SCI).
2Zou, Q., Ni, L.,Zhang, T.*, and Wang, Q. (2015). Deep-learning Based Feature Selection for Remote Sensing Scene Classification.IEEE Geoscience and Remote Sensing Letters12(11): 2321-2325. (SCI). (* Corresponding author).
2Zhang, T., Li, J., Liu, Q., and Huang, Q. (2016). A Cloud-enabled Remote Visualization Tool for Time-varying Climate Data Analytics.Environmental Modelling & Software75:513-518. (SCI).
2Zeng, Z.,Zhang, T.*, Li, Q., Wu, Z., Zou, H., and Gao, C. (2016). Curvedness Feature Constrained Map Matching for Low-frequency Probe Vehicle Data.International Journal of Geographical Information Science. Accepted. 10.1080/13658816.2015.1086922. (SCI). (* Corresponding author).
2Zhang, T., Yan, W., Li, J., and Chen, J. (2016). Multi-class Labeling of Very High-Resolution Remote Sensing Imagery by Enforcing Non-local Shared Constraints in Multi-level Conditional Random Field Models.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Accepted. 10.1109/JSTARS.2015.2510367.(SCI).
2Li, J.,Zhang, T., (2016). Predicting Visualization Intensity for Interactive Spatiotemporal Visual Analytics: A Data-driven View-dependent Approach. Submitted forInternational Journal of Geographical Information Science(under revision).
2Li, J.,Zhang, T., Wong, D., and Mooney, M. (2016). A View-dependent Spatiotemporal Saliency-driven Approach for Remote Visualization. Submitted forComputers, Environment and urban Systems(under revision).
指導學生
第一導師
工作單位:國家電網許繼集團有限公司
工作單位:鐵道第三勘察設計研究院
工作單位:吉林省測繪局
工作單位:解放軍9XXXX部隊
工作單位:浪潮集團有限公司
石碩碩士研究生2013.9-今公交可達的時空公平量度
董紹軒碩士研究生2014.9-今不確定條件約束的公交可達
羅平碩士研究生2015.9-今影像分割質量驅動的自反饋語義標註
第二導師
工作單位:福建省城鄉規劃設計研究院
參與指導
工作單位:長江水利委員會長江科學院
工作單位:天津市測繪院
工作單位:中國船舶重工集團有限公司第710研究所
工作單位:寧波市鄞州區測繪院