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Shufang Tian
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2020 – today
- 2024
- [j11]Shuhan Yang, Shufang Tian:
Extraction of Alteration Information from Hyperspectral Data Base on Kernel Extreme Learning Machine. Remote. Sens. 16(19): 3646 (2024) - 2023
- [j10]Tingyan Fu, Shufang Tian, Jia Ge:
R-Unet: A Deep Learning Model for Rice Extraction in Rio Grande do Sul, Brazil. Remote. Sens. 15(16): 4021 (2023) - [j9]Yicheng Hu, Shufang Tian, Jia Ge:
Hybrid Convolutional Network Combining Multiscale 3D Depthwise Separable Convolution and CBAM Residual Dilated Convolution for Hyperspectral Image Classification. Remote. Sens. 15(19): 4796 (2023) - 2022
- [j8]Yi Zhou, Shufang Tian, Jianping Chen, Yao Liu, Chaozhu Li:
Research on Classification of Open-Pit Mineral Exploiting Information Based on OOB RFE Feature Optimization. Sensors 22(5): 1948 (2022) - 2021
- [j7]Zhengyang Wang, Shufang Tian:
Ground object information extraction from hyperspectral remote sensing images using deep learning algorithm. Microprocess. Microsystems 87: 104394 (2021) - [j6]Chunfang Zhou, Shufang Tian, Fei Lv, Rui Shang, Xuejiao Zheng:
Computerized Tomography Imaging Omics under Iterative Reconstruction Algorithm in Diagnosis of Gastric Cancer. Sci. Program. 2021: 2987080:1-2987080:8 (2021) - 2020
- [j5]Bei Ye, Shufang Tian, Qiuming Cheng, Yunzhao Ge:
Application of Lithological Mapping Based on Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5 (GF-5) Satellite. Remote. Sens. 12(23): 3990 (2020)
2010 – 2019
- 2019
- [j4]Jinhua Wu, Bo Zhong, Shufang Tian, Aixia Yang, Junjun Wu:
Downscaling of Urban Land Surface Temperature Based on Multi-Factor Geographically Weighted Regression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 2897-2911 (2019) - [c5]Yuxue Wang, Shufang Tian, Chang Liu:
Rapid Identification of Seismic Landslides Combining with Object-Oriented and Independent Component Analysis Transformation : A Case of the Ms6.5 Earthquake in Ludian, Yunnan. IGARSS 2019: 1570-1573 - [c4]Yujia Chen, Shufang Tian:
Evaluation of Mine Exploitation Intensity Based on Topsis and BP Neural Network: a Case Study in Fujian Province, China. IGARSS 2019: 6437-6440 - [c3]Qian Zhan, Jiaojiao Tian, Shufang Tian:
Prediction Model of Land Use and Land Cover Changes in Beijing Based on Ann and Markov_CA Model. IGARSS 2019: 6503-6506 - 2018
- [c2]Qian Zhan, Shufang Tian:
Automatic Forest Extraction Method Based on Self-Organizing Map Algorithm Using Gf-2 Images. IGARSS 2018: 7664-7667 - 2017
- [j3]Meichen Jiang, Shufang Tian, Zhaoju Zheng, Qian Zhan, Yuexin He:
Human Activity Influences on Vegetation Cover Changes in Beijing, China, from 2000 to 2015. Remote. Sens. 9(3): 271 (2017) - [j2]Bei Ye, Shufang Tian, Jia Ge, Yaqin Sun:
Assessment of WorldView-3 Data for Lithological Mapping. Remote. Sens. 9(11): 1132 (2017) - 2016
- [j1]Xiangjian Xie, Shufang Tian, Peijun Du, Wenfeng Zhan, Alim Samat, Jike Chen:
Quantitative Estimation of Carbonate Rock Fraction in Karst Regions Using Field Spectra in 2.0-2.5 μm. Remote. Sens. 8(1): 68 (2016) - [c1]Chengyi Li, Shufang Tian:
Spectra denoising of hyperspectral thermal infrared emissivity product via sparse representation over learned dictionaries. IGARSS 2016: 6529-6532
Coauthor Index
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