Extracting Building Boundaries from High Resolution Optical Images and LiDAR Data by Integrating the Convolutional Neural Network and the Active Contour Model. - Ying Sun 007; Xinchang Zhang 002; Xiaoyang Zhao; Qinchuan Xin (Remote. Sens., 2018)

Road Centerline Extraction from Very-High-Resolution Aerial Image and LiDAR Data Based on Road Connectivity. - Zhiqiang Zhang; Xinchang Zhang 002; Ying Sun 007; Pengcheng Zhang (Remote. Sens., 2018)

Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016. - H. P. U. Fonseka; Hongsheng Zhang 001; Ying Sun 007; Hua Su; Hui Lin 002; Yinyi Lin (Remote. Sens., 2019)

Characterizing Tree Species of a Tropical Wetland in Southern China at the Individual Tree Level Based on Convolutional Neural Network. - Ying Sun 007; Qinchuan Xin; Jianfeng Huang; Bo Huang 001; Hongsheng Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Topology-Preserving and Geometric Feature-Correction Watermarking of Vector Maps. - Xu Xi; Xinchang Zhang 002; Ying Sun 007; Xin Jiang; Qinchuan Xin (IEEE Access, 2020)

Development of a global annual land surface phenology dataset for 1982-2018 from the AVHRR data by implementing multiple phenology retrieving methods. - Wei Wu; Ying Sun 007; Kun Xiao; Qinchuan Xin (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Constructing 10-m NDVI Time Series From Landsat 8 and Sentinel 2 Images Using Convolutional Neural Networks. - Zurui Ao; Ying Sun 007; Qinchuan Xin (IEEE Geosci. Remote. Sens. Lett., 2021)

Identifying Leaf Phenology of Deciduous Broadleaf Forests from PhenoCam Images Using a Convolutional Neural Network Regression Method. - Mengying Cao; Ying Sun 007; Xin Jiang; Ziming Li; Qinchuan Xin (Remote. Sens., 2021)

A Deep Learning-Based Framework for Automated Extraction of Building Footprint Polygons from Very High-Resolution Aerial Imagery. - Ziming Li; Qinchuan Xin; Ying Sun 007; Mengying Cao (Remote. Sens., 2021)

Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages. - Jianfeng Huang; Xinchang Zhang 002; Ying Sun 007; Qinchuan Xin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Contour line simplification method based on the two-level Bellman-Ford algorithm. - Guangjing He; Xinchang Zhang 002; Ying Sun 007; Guowei Luo; Liyan Chen (Trans. GIS, 2021)

Counting trees in a subtropical mega city using the instance segmentation method. - Ying Sun 007; Ziming Li; Huagui He; Liang Guo 010; Xinchang Zhang 002; Qinchuan Xin (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning. - Ying Sun 007; Xinchang Zhang 002; Jianfeng Huang; Haiying Wang 010; Qinchuan Xin (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep Learning-Based Spatiotemporal Data Fusion Using a Patch-to-Pixel Mapping Strategy and Model Comparisons. - Zurui Ao; Ying Sun 007; Xiaoyu Pan; Qinchuan Xin (IEEE Trans. Geosci. Remote. Sens., 2022)

A Densely Attentive Refinement Network for Change Detection Based on Very-High-Resolution Bitemporal Remote Sensing Images. - Ziming Li; Chenxi Yan; Ying Sun 007; Qinchuan Xin (IEEE Trans. Geosci. Remote. Sens., 2022)

High-resolution mapping of paddy rice fields from unmanned airborne vehicle images using enhanced-TransUnet. - Chenxi Yan; Ziming Li; Zhicheng Zhang; Ying Sun 007; Yidan Wang; Qinchuan Xin (Comput. Electron. Agric., 2023)

A refined supply-demand framework for ecosystem services boosts assessment on the Sustainable Developmant Goals V1. - Feng Li 062; Qinchuan Xin; Ying Sun 007; Yujiu Xiong (Zenodo, 2023)

Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks. - Wei Li 245; Ying Sun 007; Yanqing Zhou; Lu Gong; Yaoming Li; Qinchuan Xin (Remote. Sens., 2023)

A Refined Supply-demand Framework to Quantify variability in Ecosystem Services Related to Surface Water in support of Sustainable Development Goals. - Feng Li 062; Qinchuan Xin; Zheng Fu; Ying Sun 007; Yujiu Xiong (Zenodo, 2024)

An attention-enhanced spatial-temporal high-resolution network for irrigated area mapping using multitemporal Sentinel-2 images. - Wei Li 245; Qinchuan Xin; Ying Sun 007; Yanqing Zhou; Jiangyue Li; Yidan Wang; Yu Sun; Guangyu Wang; Ren Xu; Lu Gong; Yaoming Li (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A Refined Supply-demand Framework to Quantify variability in Ecosystem Services Related to Surface Water in support of Sustainable Development Goals. - Feng Li 062; Qinchuan Xin; Zheng Fu; Ying Sun 007; Yujiu Xiong (Zenodo, 2024)

A Refined Supply-demand Framework to Quantify Variability in Ecosystem Services Related to Surface Water in Support of Sustainable Development Goals. - Feng Li 062; Qinchuan Xin; Zheng Fu; Ying Sun 007; Yujiu Xiong (Zenodo, 2024)

Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM. - Zhenhua Xiong; Zhicheng Zhang; Hanliang Gui; Peng Zhu; Ying Sun 007; Xuewen Zhou; Kun Xiao; Qinchuan Xin (Int. J. Digit. Earth, 2024)

Ultra-High Spatial Resolution Mapping of Urban Forest Canopy Height With Multimodal Remote Sensing Data and Deep Learning Method. - Kun Xiao; Xiaoyang Zhao; Ying Ding; Chen Huang; Jueyu Lin; Yuxuan Mai; Ying Sun 007; Qinchuan Xin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Deep Learning-Based Building Change Detection in Off-Nadir Images via a Pixel-Wise and Patch-Wise Fusion Strategy. - Jianfeng Huang; Weiming Feng 003; Ying Sun 007; Haiying Wang 010; Jun Yan; Jianwen Deng; Xinchang Zhang 002 (Trans. GIS, 2025)