Qinchuan Xin
Orcid: 0000-0003-1146-4874
According to our database1,
Qinchuan Xin
authored at least 37 papers
between 2013 and 2024.
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Collaborative distances:
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Bibliography
2024
Developing a Multi-Scale Convolutional Neural Network for Spatiotemporal Fusion to Generate MODIS-like Data Using AVHRR and Landsat Images.
Remote. Sens., March, 2024
2023
An Adaptive Multiscale Generative Adversarial Network for the Spatiotemporal Fusion of Landsat and MODIS Data.
Remote. Sens., November, 2023
Mapping Irrigated Croplands from Sentinel-2 Images Using Deep Convolutional Neural Networks.
Remote. Sens., August, 2023
High-resolution mapping of paddy rice fields from unmanned airborne vehicle images using enhanced-TransUnet.
Comput. Electron. Agric., July, 2023
Characterizing Spring Phenological Changes of the Land Surface across the Conterminous United States from 2001 to 2021.
Remote. Sens., February, 2023
A Meteorology-Driven Lstm For Predicting Time Series Of Vegetation Leaf Area Index In Land Surface Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
A Densely Attentive Refinement Network for Change Detection Based on Very-High-Resolution Bitemporal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022
Deep Learning-Based Spatiotemporal Data Fusion Using a Patch-to-Pixel Mapping Strategy and Model Comparisons.
IEEE Trans. Geosci. Remote. Sens., 2022
Ecological Responses to Climate Change and Human Activities in the Arid and Semi-Arid Regions of Xinjiang in China.
Remote. Sens., 2022
Gap-Filling and Missing Information Recovery for Time Series of MODIS Data Using Deep Learning-Based Methods.
Remote. Sens., 2022
Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning.
IEEE Geosci. Remote. Sens. Lett., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
A Global Annual Vegetation Phenology Dataset Derived from GIMMS LAI 3G Time Series for 1982-2015.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Deep Learning-Based Framework for Automated Extraction of Building Footprint Polygons from Very High-Resolution Aerial Imagery.
Remote. Sens., 2021
Identifying Leaf Phenology of Deciduous Broadleaf Forests from PhenoCam Images Using a Convolutional Neural Network Regression Method.
Remote. Sens., 2021
Constructing 10-m NDVI Time Series From Landsat 8 and Sentinel 2 Images Using Convolutional Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2021
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, 2021
Corner-Guided Building Polygon Construction from Aerial Images using Deep Multitask Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
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, 2020
IEEE Access, 2020
2019
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., 2019
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., 2019
2018
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., 2018
Extracting Building Boundaries from High Resolution Optical Images and LiDAR Data by Integrating the Convolutional Neural Network and the Active Contour Model.
Remote. Sens., 2018
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., 2018
2017
Remote. Sens., 2017
2016
Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery.
Remote. Sens., 2016
Propagating Updates of Residential Areas in Multi-Representation Databases Using Constrained Delaunay Triangulations.
ISPRS Int. J. Geo Inf., 2016
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, 2016
Combining Crop Proportion Phenology Index models with machine learning algorithms for estimating winter wheat areas.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2014
Dynamic assessment of the impact of drought on agricultural yield and scale-dependent return periods over large geographic regions.
Environ. Model. Softw., 2014
2013
A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US.
Remote. Sens., 2013
Int. J. Digit. Earth, 2013