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2020 – today
- 2024
[j35]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)- [j34]Hanliang Gui, Qinchuan Xin, Xuewen Zhou, Wei Wu, Zhenhua Xiong:
Better representation of vegetation phenology improves estimations of annual gross primary productivity. Ecol. Informatics 82: 102767 (2024) - [j33]Zhicheng Zhang, Zurui Ao, Wei Wu, Yidan Wang, Qinchuan Xin:
Developing a Multi-Scale Convolutional Neural Network for Spatiotemporal Fusion to Generate MODIS-like Data Using AVHRR and Landsat Images. Remote. Sens. 16(6): 1086 (2024) - [j32]Ruiwen Mai, Qinchuan Xin, Jianxiu Qiu, Qianfeng Wang, Peng Zhu:
High Spatial Resolution Soil Moisture Improves Crop Yield Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19067-19077 (2024) - 2023
- [j31]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) - [j30]Wei Wu, Qinchuan Xin:
Characterizing Spring Phenological Changes of the Land Surface across the Conterminous United States from 2001 to 2021. Remote. Sens. 15(3): 737 (2023) - [j29]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) - [j28]Xiaoyu Pan, Muyuan Deng, Zurui Ao, Qinchuan Xin:
An Adaptive Multiscale Generative Adversarial Network for the Spatiotemporal Fusion of Landsat and MODIS Data. Remote. Sens. 15(21): 5128 (2023) - [c5]Zhenhua Xiong, Qinchuan Xin, Zhicheng Zhang, Hanliang Gui:
A Meteorology-Driven Lstm For Predicting Time Series Of Vegetation Leaf Area Index In Land Surface Model. IGARSS 2023: 4915-4918 - 2022
- [j27]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) - [j26]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) - [j25]Yanqing Zhou, Yaoming Li, Wei Li, Feng Li, Qinchuan Xin:
Ecological Responses to Climate Change and Human Activities in the Arid and Semi-Arid Regions of Xinjiang in China. Remote. Sens. 14(16): 3911 (2022) - [j24]Yidan Wang, Xuewen Zhou, Zurui Ao, Kun Xiao, Chenxi Yan, Qinchuan Xin:
Gap-Filling and Missing Information Recovery for Time Series of MODIS Data Using Deep Learning-Based Methods. Remote. Sens. 14(19): 4692 (2022) - [j23]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) - [j22]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) - [c4]Wei Wu, Qinchuan Xin:
A Global Annual Vegetation Phenology Dataset Derived from GIMMS LAI 3G Time Series for 1982-2015. IGARSS 2022: 6130-6133 - 2021
- [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]Xin Jiang, Xinchang Zhang, Qinchuan Xin, Xu Xi, Pengcheng Zhang:
Arbitrary-Shaped Building Boundary-Aware Detection With Pixel Aggregation Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2699-2710 (2021) - [j16]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) - [c3]Ziming Li, Qinchuan Xin:
Corner-Guided Building Polygon Construction from Aerial Images using Deep Multitask Learning. IGARSS 2021: 4043-4046 - [c2]Mengying Cao, Qinchuan Xin:
A Deep Learning Method for Detecting Leaf Phenology from Phenocam Imagery. IGARSS 2021: 6889-6892 - 2020
- [j15]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) - [j14]Qinchuan Xin, Jing Li, Ziming Li, Yaoming Li, Xuewen Zhou:
Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data. Int. J. Appl. Earth Obs. Geoinformation 93: 102189 (2020)
2010 – 2019
- 2019
- [j13]Zhiqiang Zhang, Xinchang Zhang, Xin Jiang, Qinchuan Xin, Zurui Ao, Qiting Zuo, Liyan Chen:
Automated Surface Water Extraction Combining Sentinel-2 Imagery and OpenStreetMap Using Presence and Background Learning (PBL) Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3784-3798 (2019) - [j12]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
- [j11]Guoqiang Wang, Wei Wang, Qingqing Fang, Hong Jiang, Qinchuan Xin, Baolin Xue:
The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of Soil Properties with Visible and Near-Infrared Spectral Data. Remote. Sens. 10(6): 867 (2018) - [j10]Le Li, Yaolong Zhao, Yingchun Fu, Qinchuan Xin:
Satellite-Based Models Need Improvements on Simulating Annual Gross Primary Productivity: A Comparison of Six Models for Regional Modeling of Deciduous Broadleaf Forests. Remote. Sens. 10(7): 1008 (2018) - [j9]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) - 2017
- [j8]Le Li, Yaolong Zhao, Yingchun Fu, Yaozhong Pan, Le Yu, Qinchuan Xin:
High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data. Remote. Sens. 9(12): 1232 (2017) - 2016
- [j7]Qinchuan Xin, Peng Gong, Andrew E. Suyker, Yali Si:
Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production. Int. J. Appl. Earth Obs. Geoinformation 50: 51-63 (2016) - [j6]Xinchang Zhang, Taisheng Guo, Jianfeng Huang, Qinchuan Xin:
Propagating Updates of Residential Areas in Multi-Representation Databases Using Constrained Delaunay Triangulations. ISPRS Int. J. Geo Inf. 5(6): 80 (2016) - [j5]Xiaoyi Wang, Huabing Huang, Peng Gong, Gregory S. Biging, Qinchuan Xin, Yanlei Chen, Jun Yang, Caixia Liu:
Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery. Remote. Sens. 8(1): 62 (2016) - [c1]Le Li, Yaozhong Pan, Qinchuan Xin:
Combining Crop Proportion Phenology Index models with machine learning algorithms for estimating winter wheat areas. IGARSS 2016: 7137-7140 - 2014
- [j4]Chaoqing Yu, Changsheng Li, Qinchuan Xin, Han Chen, Jie Zhang, Feng Zhang, Xuecao Li, Nick Clinton, Xiao Huang, Yali Yue, Peng Gong:
Dynamic assessment of the impact of drought on agricultural yield and scale-dependent return periods over large geographic regions. Environ. Model. Softw. 62: 454-464 (2014) - [j3]Le Li, Mark A. Friedl, Qinchuan Xin, Josh M. Gray, Yaozhong Pan, Steve Frolking:
Mapping Crop Cycles in China Using MODIS-EVI Time Series. Remote. Sens. 6(3): 2473-2493 (2014) - 2013
- [j2]Le Yu, Jie Wang, Nicholas Clinton, Qinchuan Xin, Liheng Zhong, Yanlei Chen, Peng Gong:
FROM-GC: 30 m global cropland extent derived through multisource data integration. Int. J. Digit. Earth 6(6): 521-533 (2013) - [j1]Qinchuan Xin, Peng Gong, Chaoqing Yu, Le Yu, Mark Broich, Andrew E. Suyker, Ranga B. Myneni:
A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US. Remote. Sens. 5(11): 5926-5943 (2013)
Coauthor Index
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