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Ying Sun 0007
Person information
- affiliation: Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
- affiliation (2018): Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong
- affiliation (PhD 2014): Sun Yat-sen University, School of Geography and Planning, Guangzhou, China
Other persons with the same name
- Ying Sun — disambiguation page
- Ying Sun 0001
— National University of Singapore, Department of Electrical and Computer Engineering, Singapore - Ying Sun 0002
— King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (and 1 more) - Ying Sun 0003
— Purdue University, School of Industrial Engineering, West-Lafayette, IN, USA (and 1 more) - Ying Sun 0004
— Wuhan University of Science and Technology, MoE Key Laboratory of Metallurgical Equipment and Control Technology, China - Ying Sun 0005
— Tianjin University, College of Intelligence and Computing, China - Ying Sun 0006
— Hong Kong University of Science and Technology, Guangzhou Campus, China (and 1 more) - Ying Sun 0008
— Guangdong Power Grid Co., Ltd, China Southern Power Grid, Guangzhou, China - Ying Sun 0009
— Jilin University, Changchun, Jilin, China - Ying Sun 0010
— Beijing Center for Disease Prevention and Control, Beijing, China
- Ying Sun 0011
— Cornell University, Ithaca, NY, USA - Ying Sun 0012
— Beihang University, China - Ying Sun 0013
— Harbin Institute of Technology, Harbin, Heilongjiang, China - Ying Sun 0014
— University of Cincinnati, Cincinnati, OH, USA - Ying Sun 0015
— Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China - Ying Sun 0016
— Hebei University, Baoding, Hebei, China - Ying Sun 0017
— Yokohama National University, Yokohama, Japan - Ying Sun 0018
— Beijing Technology and Business University, Beijing, China - Ying Sun 0019
— Beijing Technology and Business University, Beijing, China - Ying Sun 0020
— Beihang University, Beijing, China - Ying Sun 0021
— Jinan University, Guangzhou, China - Ying Sun 0022
— Institute of Software, Chinese Academy of Sciences, Beijing, China - Ying Sun 0023
— Nanjing University of Posts and Telecommunications, Nanjing, China - Ying Sun 0024
— Beijing Information, Science and Technology University, Beijing, China - Ying Sun 0025
— Wuhan University, Wuhan, China - Ying Sun 0026
— Harbin Institute of Technology, Harbin, Heilongjiang, China - Ying Sun 0027
— Friedrich-Schiller-Universität Jena, Jena, Germany
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2020 – today
- 2025
[j21]Kun Xiao
, Xiaoyang Zhao, Ying Ding, Chen Huang, Jueyu Lin, Yuxuan Mai
, Ying Sun
, Qinchuan Xin
:
Ultra-High Spatial Resolution Mapping of Urban Forest Canopy Height With Multimodal Remote Sensing Data and Deep Learning Method. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 9865-9882 (2025)
[j20]Jianfeng Huang
, Weiming Feng, Ying Sun, Haiying Wang, Jun Yan, Jianwen Deng, Xinchang Zhang:
Deep Learning-Based Building Change Detection in Off-Nadir Images via a Pixel-Wise and Patch-Wise Fusion Strategy. Trans. GIS 29(2) (2025)
[d6]Wei Wu
, Qinchuan Xin
, Ying Sun
, Kun Xiao
:
Global Annual Land Surface Phenology (GALSP) product (1982-2018) version 020 (dataset). Version Dataset V020. Zenodo, 2025 [all versions]
[d5]Wei Wu
, Qinchuan Xin
, Ying Sun
, Kun Xiao
:
Global Annual Land Surface Phenology (GALSP) product (1982-2018) version 020 (User Guide). Version User guide. Zenodo, 2025 [all versions]
- 2024
[j19]Wei Li, Qinchuan Xin, Ying Sun
, Yanqing Zhou, Jiangyue Li, Yidan Wang, Yu Sun, Guangyu Wang, Ren Xu, Lu Gong, Yaoming Li:
An attention-enhanced spatial-temporal high-resolution network for irrigated area mapping using multitemporal Sentinel-2 images. Int. J. Appl. Earth Obs. Geoinformation 132: 104040 (2024)
[j18]Zhenhua Xiong, Zhicheng Zhang, Hanliang Gui
, Peng Zhu, Ying Sun, Xuewen Zhou, Kun Xiao, Qinchuan Xin:
Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM. Int. J. Digit. Earth 17(1) (2024)
[d4]Feng Li
, Qinchuan Xin, Zheng Fu, Ying Sun, Yujiu Xiong:
A Refined Supply-demand Framework to Quantify variability in Ecosystem Services Related to Surface Water in support of Sustainable Development Goals. Version 2. Zenodo, 2024 [all versions]
[d3]Feng Li
, Qinchuan Xin, Zheng Fu, Ying Sun, Yujiu Xiong:
A Refined Supply-demand Framework to Quantify variability in Ecosystem Services Related to Surface Water in support of Sustainable Development Goals. Version 4. Zenodo, 2024 [all versions]
[d2]Feng Li
, Qinchuan Xin
, Zheng Fu
, Ying Sun, Yujiu Xiong
:
A Refined Supply-demand Framework to Quantify Variability in Ecosystem Services Related to Surface Water in Support of Sustainable Development Goals. Zenodo, 2024
- 2023
[j17]Chenxi Yan, Ziming Li, Zhicheng Zhang, Ying Sun, Yidan Wang, Qinchuan Xin:
High-resolution mapping of paddy rice fields from unmanned airborne vehicle images using enhanced-TransUnet. Comput. Electron. Agric. 210: 107867 (2023)
[j16]Wei Li
, Ying Sun
, Yanqing Zhou, Lu Gong, Yaoming Li
, Qinchuan Xin:
Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks. Remote. Sens. 15(16): 4071 (2023)
[d1]Feng Li
, Qinchuan Xin, Ying Sun, Yujiu Xiong:
A refined supply-demand framework for ecosystem services boosts assessment on the Sustainable Developmant Goals V1. Version V1. Zenodo, 2023 [all versions]
- 2022
[j15]Ying Sun
, Ziming Li
, Huagui He, Liang Guo
, Xinchang Zhang, Qinchuan Xin
:
Counting trees in a subtropical mega city using the instance segmentation method. Int. J. Appl. Earth Obs. Geoinformation 106: 102662 (2022)
[j14]Ying Sun
, Xinchang Zhang
, Jianfeng Huang
, Haiying Wang, Qinchuan Xin
:
Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j13]Zurui Ao
, Ying Sun
, Xiaoyu Pan
, Qinchuan Xin
:
Deep Learning-Based Spatiotemporal Data Fusion Using a Patch-to-Pixel Mapping Strategy and Model Comparisons. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022)
[j12]Ziming Li
, Chenxi Yan, Ying Sun
, Qinchuan Xin
:
A Densely Attentive Refinement Network for Change Detection Based on Very-High-Resolution Bitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022)- 2021
[j11]Wei Wu
, Ying Sun, Kun Xiao, Qinchuan Xin
:
Development of a global annual land surface phenology dataset for 1982-2018 from the AVHRR data by implementing multiple phenology retrieving methods. Int. J. Appl. Earth Obs. Geoinformation 103: 102487 (2021)
[j10]Zurui Ao
, Ying Sun
, Qinchuan Xin
:
Constructing 10-m NDVI Time Series From Landsat 8 and Sentinel 2 Images Using Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 18(8): 1461-1465 (2021)
[j9]Mengying Cao
, Ying Sun
, Xin Jiang, Ziming Li, Qinchuan Xin
:
Identifying Leaf Phenology of Deciduous Broadleaf Forests from PhenoCam Images Using a Convolutional Neural Network Regression Method. Remote. Sens. 13(12): 2331 (2021)
[j8]Ziming Li
, Qinchuan Xin
, Ying Sun
, Mengying Cao
:
A Deep Learning-Based Framework for Automated Extraction of Building Footprint Polygons from Very High-Resolution Aerial Imagery. Remote. Sens. 13(18): 3630 (2021)
[j7]Jianfeng Huang
, Xinchang Zhang
, Ying Sun
, Qinchuan Xin
:
Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4490-4503 (2021)
[j6]Guangjing He
, Xinchang Zhang, Ying Sun, Guowei Luo, Liyan Chen:
Contour line simplification method based on the two-level Bellman-Ford algorithm. Trans. GIS 25(1): 396-423 (2021)- 2020
[j5]Xu Xi
, Xinchang Zhang
, Ying Sun
, Xin Jiang
, Qinchuan Xin
:
Topology-Preserving and Geometric Feature-Correction Watermarking of Vector Maps. IEEE Access 8: 33428-33441 (2020)
2010 – 2019
- 2019
[j4]H. P. U. Fonseka
, Hongsheng Zhang
, Ying Sun, Hua Su
, Hui Lin, Yinyi Lin
:
Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016. Remote. Sens. 11(8): 957 (2019)
[j3]Ying Sun
, Qinchuan Xin
, Jianfeng Huang, Bo Huang
, Hongsheng Zhang
:
Characterizing Tree Species of a Tropical Wetland in Southern China at the Individual Tree Level Based on Convolutional Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(11): 4415-4425 (2019)- 2018
[j2]Zhiqiang Zhang
, Xinchang Zhang, Ying Sun, Pengcheng Zhang:
Road Centerline Extraction from Very-High-Resolution Aerial Image and LiDAR Data Based on Road Connectivity. Remote. Sens. 10(8): 1284 (2018)
[j1]Ying Sun, Xinchang Zhang, Xiaoyang Zhao, Qinchuan Xin
:
Extracting Building Boundaries from High Resolution Optical Images and LiDAR Data by Integrating the Convolutional Neural Network and the Active Contour Model. Remote. Sens. 10(9): 1459 (2018)
Coauthor Index

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last updated on 2026-01-29 23:28 CET by the dblp team
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