Identification of inclined buildings from aerial LIDAR Data for disaster management. - Yonglin Shen; Lixin Wu; Zhi Wang 009 (Geoinformatics, 2010)

Extraction of building's geometric axis line from LiDAR data for disaster management. - Yonglin Shen; Zhi Wang 009; Lixin Wu (IGARSS, 2010)

Geohazards observations and natural disaster assessment in China. - Zhi Wang 009; Baishan Xu; Lixin Wu; Yonglin Shen; Zhifeng Li; Huiying Li (IGARSS, 2012)

Correlation Between Corn Progress Stages and Fractal Dimension From MODIS-NDVI Time Series. - Yonglin Shen; Liping Di; Genong Yu; Lixin Wu (IEEE Geosci. Remote. Sens. Lett., 2013)

Hidden Markov Models for Real-Time Estimation of Corn Progress Stages Using MODIS and Meteorological Data. - Yonglin Shen; Lixin Wu; Liping Di; Genong Yu; Hong Tang 002; Guoxian Yu; Yuanzheng Shao (Remote. Sens., 2013)

Extraction of damaged building's geometric features from multi-source point clouds. - Zhihua Xu; Lixin Wu; Yonglin Shen; Qiuling Wang; Ran Wang; Fashuai Li (IGARSS, 2014)

Tridimensional Reconstruction Applied to Cultural Heritage with the Use of Camera-Equipped UAV and Terrestrial Laser Scanner. - Zhihua Xu; Lixin Wu; Yonglin Shen; Fashuai Li; Qiuling Wang; Ran Wang (Remote. Sens., 2014)

Detecting the water depth of the South China Sea reef area from WorldView-2 satellite imagery. - Guizhou Zheng; Feng Chen; Yonglin Shen (Earth Sci. Informatics, 2017)

Fractal Dimension of Irregular Region of Interest Application to Corn Phenology Characterization. - Yonglin Shen; Xiuguo Liu; Xiaohui Yuan 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Fully Connected Conditional Random Fields for High-Resolution Remote Sensing Land Use/Land Cover Classification with Convolutional Neural Networks. - Bin Zhang 033; Cunpeng Wang; Yonglin Shen; Yueyan Liu (Remote. Sens., 2018)

Relative radiometric correction of high-resolution remote sensing images based on feature category. - Hao He; Xiuguo Liu; Yonglin Shen (Clust. Comput., 2019)

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model. - Jie Sun; Liping Di; Ziheng Sun; Yonglin Shen; Zulong Lai (Sensors, 2019)

Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine Learning Platform. - Nengcheng Chen; Lixiaona Yu; Xiang Zhang 002; Yonglin Shen; Linglin Zeng; Qiong Hu; Dev Niyogi (Remote. Sens., 2020)

Large-Scale Crop Mapping From Multisource Remote Sensing Images in Google Earth Engine. - Xinkai Liu; Han Zhai; Yonglin Shen; Benke Lou; Changmin Jiang; Tianqi Li; Sayed Bilal Hussain; Guoling Shen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt. - Jie Sun; Zulong Lai; Liping Di; Ziheng Sun; Jianbin Tao; Yonglin Shen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images. - Jingtao Li; Yonglin Shen; Chao Yang (Remote. Sens., 2021)

Rotation Invariance Regularization for Remote Sensing Image Scene Classification with Convolutional Neural Networks. - Kunlun Qi; Chao Yang 007; Chuli Hu; Yonglin Shen; Shengyu Shen; Huayi Wu (Remote. Sens., 2021)

Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China. - Yonglin Shen; Changmin Jiang; Ka Lok Chan 003; Chuli Hu; Ling Yao (Remote. Sens., 2021)

Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification. - Kunlun Qi; Chao Yang 007; Chuli Hu; Yonglin Shen; Huayi Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Gaussian Kernel-Based Spatiotemporal Fusion Model for Agricultural Remote Sensing Monitoring. - Yonglin Shen; Guoling Shen; Han Zhai; Chao Yang 007; Kunlun Qi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

AQE-Net: A Deep Learning Model for Estimating Air Quality of Karachi City from Mobile Images. - Maqsood Ahmed; Yonglin Shen; Mansoor Ahmed; Zemin Xiao; Ping Cheng; Nafees Ali; Abdul Ghaffar; Sabir Ali (Remote. Sens., 2022)

Estimation of Ground PM2.5 Concentrations in Pakistan Using Convolutional Neural Network and Multi-Pollutant Satellite Images. - Maqsood Ahmed; Zemin Xiao; Yonglin Shen (Remote. Sens., 2022)

A novel approach to detect the spring corn phenology using layered strategy. - YuYang Ma; Yonglin Shen; Haixiang Guan; Jie Wang; Chuli Hu (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Evaluating the Ability of the Sentinel-1 Cross-Polarization Ratio to Detect Spring Maize Phenology Using Adaptive Dynamic Threshold. - YuYang Ma; Gongxin Jiang; Jianxi Huang; Yonglin Shen; Haixiang Guan; Yi Dong; Jialin Li; Chuli Hu (Remote. Sens., 2024)