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Yonglin Shen
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2020 – today
- 2024
- [j20]YuYang Ma, Gongxin Jiang, Jianxi Huang
, Yonglin Shen, Haixiang Guan, Yi Dong
Evaluating the Ability of the Sentinel-1 Cross-Polarization Ratio to Detect Spring Maize Phenology Using Adaptive Dynamic Threshold. Remote. Sens. 16(5): 826 (2024) - 2023
- [j19]YuYang Ma, Yonglin Shen, Haixiang Guan, Jie Wang, Chuli Hu:
A novel approach to detect the spring corn phenology using layered strategy. Int. J. Appl. Earth Obs. Geoinformation 122: 103422 (2023) - 2022
- [j18]Maqsood Ahmed, Zemin Xiao, Yonglin Shen:
Estimation of Ground PM2.5 Concentrations in Pakistan Using Convolutional Neural Network and Multi-Pollutant Satellite Images. Remote. Sens. 14(7): 1735 (2022) - [j17]Maqsood Ahmed, Yonglin Shen, Mansoor Ahmed, Zemin Xiao, Ping Cheng, Nafees Ali, Abdul Ghaffar
AQE-Net: A Deep Learning Model for Estimating Air Quality of Karachi City from Mobile Images. Remote. Sens. 14(22): 5732 (2022) - 2021
- [j16]Jingtao Li
An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images. Remote. Sens. 13(1): 65 (2021) - [j15]Yonglin Shen, Changmin Jiang, Ka Lok Chan
Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China. Remote. Sens. 13(3): 404 (2021) - [j14]Kunlun Qi
Rotation Invariance Regularization for Remote Sensing Image Scene Classification with Convolutional Neural Networks. Remote. Sens. 13(4): 569 (2021) - [j13]Yonglin Shen
A Gaussian Kernel-Based Spatiotemporal Fusion Model for Agricultural Remote Sensing Monitoring. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3533-3545 (2021) - [j12]Kunlun Qi
Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7857-7868 (2021) - 2020
- [j11]Nengcheng Chen
Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine Learning Platform. Remote. Sens. 12(18): 2992 (2020) - [j10]Xinkai Liu, Han Zhai, Yonglin Shen
Large-Scale Crop Mapping From Multisource Remote Sensing Images in Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 414-427 (2020) - [j9]Jie Sun
Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5048-5060 (2020)
2010 – 2019
- 2019
- [j8]Hao He, Xiuguo Liu, Yonglin Shen:
Relative radiometric correction of high-resolution remote sensing images based on feature category. Clust. Comput. 22(Supplement): 7933-7941 (2019) - [j7]Jie Sun, Liping Di, Ziheng Sun
County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model. Sensors 19(20): 4363 (2019) - 2018
- [j6]Bin Zhang
Fully Connected Conditional Random Fields for High-Resolution Remote Sensing Land Use/Land Cover Classification with Convolutional Neural Networks. Remote. Sens. 10(12): 1889 (2018) - 2017
- [j5]Guizhou Zheng, Feng Chen, Yonglin Shen:
Detecting the water depth of the South China Sea reef area from WorldView-2 satellite imagery. Earth Sci. Informatics 10(3): 331-337 (2017) - [j4]Yonglin Shen, Xiuguo Liu, Xiaohui Yuan
Fractal Dimension of Irregular Region of Interest Application to Corn Phenology Characterization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1402-1412 (2017) - 2014
- [j3]Zhihua Xu, Lixin Wu, Yonglin Shen, Fashuai Li
Tridimensional Reconstruction Applied to Cultural Heritage with the Use of Camera-Equipped UAV and Terrestrial Laser Scanner. Remote. Sens. 6(11): 10413-10434 (2014) - [c4]Zhihua Xu, Lixin Wu, Yonglin Shen, Qiuling Wang, Ran Wang, Fashuai Li
Extraction of damaged building's geometric features from multi-source point clouds. IGARSS 2014: 4764-4767 - 2013
- [j2]Yonglin Shen, Liping Di, Genong Yu, Lixin Wu:
Correlation Between Corn Progress Stages and Fractal Dimension From MODIS-NDVI Time Series. IEEE Geosci. Remote. Sens. Lett. 10(5): 1065-1069 (2013) - [j1]Yonglin Shen, Lixin Wu, Liping Di, Genong Yu, Hong Tang, Guoxian Yu, Yuanzheng Shao:
Hidden Markov Models for Real-Time Estimation of Corn Progress Stages Using MODIS and Meteorological Data. Remote. Sens. 5(4): 1734-1753 (2013) - 2012
- [c3]Zhi Wang, Baishan Xu, Lixin Wu, Yonglin Shen, Zhifeng Li, Huiying Li:
Geohazards observations and natural disaster assessment in China. IGARSS 2012: 950-953 - 2010
- [c2]Yonglin Shen, Lixin Wu, Zhi Wang:
Identification of inclined buildings from aerial LIDAR Data for disaster management. Geoinformatics 2010: 1-5 - [c1]Yonglin Shen, Zhi Wang, Lixin Wu:
Extraction of building's geometric axis line from LiDAR data for disaster management. IGARSS 2010: 1198-1201
Coauthor Index
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