Bin Yang

Orcid: 0000-0001-6127-3385

Affiliations:
  • Hunan University, Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China
  • Boston University, Department of Earth and Environment, Boston, MA, USA (former)
  • Peking University, Beijing Key Lab of Spatial Information Integration & Its Applications, Beijing, China (PhD 2017)


According to our database1, Bin Yang authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer.
IEEE Trans. Instrum. Meas., 2023

A Modified Transfer-Learning-Based Approach for Retrieving Land Surface Temperature From Landsat-8 TIRS Data.
IEEE Trans. Geosci. Remote. Sens., 2023

From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2023

PPCE: A Practical Loss for Crop Mapping Using Phenological Prior.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion.
IEEE Trans. Instrum. Meas., 2022

UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Cloud-Free Land Surface Temperature Reconstructions Based on MODIS Measurements and Numerical Simulations for Characterizing Surface Urban Heat Islands.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

IRCNN: An Irregular-Time-Distanced Recurrent Convolutional Neural Network for Change Detection in Satellite Time Series.
IEEE Geosci. Remote. Sens. Lett., 2022

Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation.
CoRR, 2022

2020
Data-Driven Methods for the Estimation of Leaf Water and Dry Matter Content: Performances, Potential and Limitations.
Sensors, 2020

Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using Machine Learning Techniques.
Remote. Sens., 2020

Modeling Polarized Reflectance of Natural Land Surfaces Using Generalized Regression Neural Networks.
Remote. Sens., 2020

Degree of Linear Polarization of Land Surfaces: Analyses Using POLDER/PARASOL Measurements.
IEEE Access, 2020

2018
Generating Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation.
IEEE Trans. Geosci. Remote. Sens., 2018

Spectral Invariant Provides a Practical Modeling Approach for Future Biophysical Variable Estimations.
Remote. Sens., 2018

Influence of Leaf Specular Reflection on Canopy Radiative Regime Using an Improved Version of the Stochastic Radiative Transfer Model.
Remote. Sens., 2018

Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth's Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations.
Remote. Sens., 2018

2017
Prototyping of LAI and FPAR Retrievals from MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) Data.
Remote. Sens., 2017

TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest.
Int. J. Digit. Earth, 2017

2016
Analyses of Impact of Needle Surface Properties on Estimation of Needle Absorption Spectrum: Case Study with Coniferous Needle and Shoot Samples.
Remote. Sens., 2016

Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison.
Remote. Sens., 2016

Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements.
Remote. Sens., 2016


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