A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion

Deep learning in environmental remote sensing: Achievements and challenges

(2020) Qiangqiang Yuan et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages

(2020) Chunyuan Diao   REMOTE SENSING OF ENVIRONMENT

Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network

(2020) Hongyan Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images

(2019) Nima Teimouri et al.   Remote Sensing

Innovative pheno-network model in estimating crop phenological stages with satellite time series

(2019) Chunyuan Diao   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

(2019) Xun Liu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks

(2018) Huihui Song et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

(2018) Bo Huang et al.   REMOTE SENSING OF ENVIRONMENT

Spatio-temporal fusion for daily Sentinel-2 images

(2018) Qunming Wang et al.   REMOTE SENSING OF ENVIRONMENT

Remote Sensing and Cropping Practices: A Review

(2018) Agnès Bégué et al.   Remote Sensing

Long Short-Term Memory Neural Networks for Online Disturbance Detection in Satellite Image Time Series

(2018) Yun-Long Kong et al.   Remote Sensing

Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

(2018) et al.   Remote Sensing

Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

(2017) Feng Gao et al.   REMOTE SENSING OF ENVIRONMENT

A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images

(2017) Jie Xue et al.   Remote Sensing

Convolutional Recurrent Neural Networks forHyperspectral Data Classification

(2017) Hao Wu et al.   Remote Sensing

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images

(2016) Huanfeng Shen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Estimating winter wheat biomass by assimilating leaf area index derived from fusion of Landsat-8 and MODIS data

(2016) Taifeng Dong et al.   International Journal of Applied Earth Observation and Geoinformation

Land cover change detection by integrating object-based data blending model of Landsat and MODIS

(2016) Miao Lu et al.   REMOTE SENSING OF ENVIRONMENT

A flexible spatiotemporal method for fusing satellite images with different resolutions

(2016) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches

(2016) Yinghai Ke et al.   Remote Sensing

Deep learning

(2015) Yann LeCun et al.   NATURE

Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data

(2015) Mingquan Wu et al.   SENSORS

Comparison of Spatiotemporal Fusion Models: A Review

(2015) Bin Chen et al.   Remote Sensing

Fusing Landsat and MODIS Data for Vegetation Monitoring

(2015) Feng Gao et al.   IEEE Geoscience and Remote Sensing Magazine

Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

(2013) Julia Amorós-López et al.   International Journal of Applied Earth Observation and Geoinformation

Unified fusion of remote-sensing imagery: generating simultaneously high-resolution synthetic spatial–temporal–spectral earth observations

(2013) Bo Huang et al.   Remote Sensing Letters

Remote Sensing Based Detection of Crop Phenology for Agricultural Zones in China Using a New Threshold Method

(2013) Xingzhi You et al.   Remote Sensing

Spatiotemporal Reflectance Fusion via Sparse Representation

(2012) Bo Huang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

(2010) Xiaolin Zhu et al.   REMOTE SENSING OF ENVIRONMENT

A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS

(2009) Thomas Hilker et al.   REMOTE SENSING OF ENVIRONMENT