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Hongtao Shi
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2020 – today
- 2024
- [j17]Fengkai Lang, Yanyin Zhu, Jinqi Zhao, Xinru Hu, Hongtao Shi, Nanshan Zheng, Jianfeng Zha:
Flood Mapping of Synthetic Aperture Radar (SAR) Imagery Based on Semi-Automatic Thresholding and Change Detection. Remote. Sens. 16(15): 2763 (2024) - [j16]Yilin Mao, He Li, Yu Wang, Yang Xu, Kai Fan, Jiazhi Shen, Xiao Han, Qingping Ma, Hongtao Shi, Caihong Bi, Yunlai Feng, Zhaotang Ding, Litao Sun:
A Novel Strategy for Constructing Ecological Index of Tea Plantations Integrating Remote Sensing and Environmental Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12772-12786 (2024) - [c7]Feiya Shu, Jingmiao Cao, Qinxin Wu, Hanwen Xu, Hongtao Shi, Jinqi Zhao:
Patch-Based Cascade Forest Wetland Classification Based on Multi-Temporal SAR Images in Yellow River Delta. IGARSS 2024: 4771-4774 - [c6]Zhiguo Zhou, Lingli Zhao, Hongtao Shi, Weidong Sun, Lei Shi, Jie Yang:
Early Season Mapping of Rice Using of Time Series Sentinel-1 SAR Images. IGARSS 2024: 4832-4835 - [c5]Qing Wu, Hongtao Shi, Xinrui Dong, Lingli Zhao:
Cross and Col-Pol Phase Difference Related to Crop Structures in the Quad-Pol SAR Data and its Potential for Crop Monitoring. IGARSS 2024: 4895-4898 - 2023
- [j15]Lei Wang, Yushan Zhou, Gaoyun Shen, Junnan Xiong, Hongtao Shi:
Forest Height Inversion Based on Time-Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data. Remote. Sens. 15(1): 166 (2023) - [c4]Wenjian Li, Lingli Zhao, Zhiqu Liu, Hongtao Shi, Jie Yang, Juan M. Lopez-Sanchez:
Detection of Three Key Phenologiccal Stages During Growth Period of Rice Using Time Series Sentinel-1 Data. IGARSS 2023: 3414-3417 - 2022
- [j14]Jinxiang Liu, Kefei Zhang, Suqin Wu, Hongtao Shi, Yindi Zhao, Yaqin Sun, Huifu Zhuang, Erjiang Fu:
An Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-Sample Problems in Hyperspectral Image Classification. Remote. Sens. 14(3): 785 (2022) - [j13]Chaofa Bian, Hongtao Shi, Suqin Wu, Kefei Zhang, Meng Wei, Yindi Zhao, Yaqin Sun, Huifu Zhuang, Xuewei Zhang, Shuo Chen:
Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data. Remote. Sens. 14(6): 1474 (2022) - [j12]Ziqian Tang, Yaqin Sun, Guangtong Wan, Kefei Zhang, Hongtao Shi, Yindi Zhao, Shuo Chen, Xuewei Zhang:
Winter Wheat Lodging Area Extraction Using Deep Learning with GaoFen-2 Satellite Imagery. Remote. Sens. 14(19): 4887 (2022) - [j11]Xuewei Zhang, Kefei Zhang, Suqin Wu, Hongtao Shi, Yaqin Sun, Yindi Zhao, Erjiang Fu, Shuo Chen, Chaofa Bian, Wei Ban:
An Investigation of Winter Wheat Leaf Area Index Fitting Model Using Spectral and Canopy Height Model Data from Unmanned Aerial Vehicle Imagery. Remote. Sens. 14(20): 5087 (2022) - [c3]Suying He, Aoshen Qiu, Fengkai Lang, Hongtao Shi, Nanshan Zheng:
Soil Moisture Inversion Method for High Gravel Surface Based on Polsar data. IGARSS 2022: 6096-6099 - 2021
- [j10]Hongtao Shi, Juan M. Lopez-Sanchez, Jie Yang, Pingxiang Li, Lingli Zhao, Jinqi Zhao:
Contribution of Polarimetry and Multi-Incidence to Soil Moisture Estimation Over Agricultural Fields Based on Time Series of L-Band SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 300-313 (2021) - [j9]Linlin Zhang, Qingyan Meng, Jiangyuan Zeng, Xiangqin Wei, Hongtao Shi:
Evaluation of Gaofen-3 C-Band SAR for Soil Moisture Retrieval Using Different Polarimetric Decomposition Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5707-5719 (2021)
2010 – 2019
- 2019
- [c2]Hongtao Shi, Jie Yang, Lingli Zhao, Lei Shi, Pingxiang Li, Jinqi Zhao, Wensong Liu, Lei Wang:
Soil Moisture Retrieval Using a Modified Decomposition Method and Multi-Incidence Polarimetric SAR Data. IGARSS 2019: 6957-6960 - 2018
- [j8]Hongtao Shi, Hongping Li, Dan Zhang, Chaqiu Cheng, Xuanxuan Cao:
An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification. Comput. Networks 132: 81-98 (2018) - [j7]Wensong Liu, Jie Yang, Pingxiang Li, Yue Han, Jinqi Zhao, Hongtao Shi:
A Novel Object-Based Supervised Classification Method with Active Learning and Random Forest for PolSAR Imagery. Remote. Sens. 10(7): 1092 (2018) - [j6]Wensong Liu, Jie Yang, Jinqi Zhao, Hongtao Shi, Le Yang:
An Unsupervised Change Detection Method Using Time-Series of PolSAR Images from Radarsat-2 and GaoFen-3. Sensors 18(2): 559 (2018) - 2017
- [j5]Hongtao Shi, Hongping Li, Dan Zhang, Chaqiu Cheng, Wei Wu:
Efficient and robust feature extraction and selection for traffic classification. Comput. Networks 119: 1-16 (2017) - 2015
- [j4]Hongtao Shi, Fang Zhuo, Hao Yi, Feng Wang, Dong Zhang, Zhiqing Geng:
A Novel Real-Time Voltage and Frequency Compensation Strategy for Photovoltaic-Based Microgrid. IEEE Trans. Ind. Electron. 62(6): 3545-3556 (2015) - 2014
- [j3]Hongtao Shi, Gang Liang, Hai Wang:
A novel traffic identification approach based on multifractal analysis and combined neural network. Ann. des Télécommunications 69(3-4): 155-169 (2014) - 2013
- [c1]Dexin Ma, Jian Ma, Pengmin Xu, Lingyun Gai, Hai Wang, Guangjie Lv, Hongtao Shi:
An adaptive node partition clustering protocol using particle swarm optimization. ICCA 2013: 250-253 - 2011
- [j2]Ling Zhang, Yucai Dong, Hongtao Shi, Ping Chen, Xuhui Li:
The Extraction of the FAE Image Profilogram Based on the Grey Level Thresholding. Comput. Inf. Sci. 4(1): 68-71 (2011) - 2010
- [j1]Hongtao Shi, Yucai Dong, Lianghai Yi, Dongyun Zheng, Hong Ju, Erchang Ma, Weidong Li:
Study on the Route Optimization of Military Logistics Distribution in Wartime Based on the Ant Colony Algorithm. Comput. Inf. Sci. 3(1): 139-143 (2010)
Coauthor Index
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last updated on 2024-09-28 02:21 CEST by the dblp team
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