Yanchen Bo

Orcid: 0000-0002-5136-9364

According to our database1, Yanchen Bo authored at least 25 papers between 2005 and 2023.

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

Timeline

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Bibliography

2023
A Combined Deep Learning and Prior Knowledge Constraint Approach for Large-Scale Forest Disturbance Detection Using Time Series Remote Sensing Data.
Remote. Sens., June, 2023

Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Satellite-Derived Aerosol Optical Depth Fusion Combining Active and Passive Remote Sensing Based on Bayesian Maximum Entropy.
IEEE Trans. Geosci. Remote. Sens., 2022

Impact of the Dates of Input Image Pairs on Spatio-Temporal Fusion for Time Series with Different Temporal Variation Patterns.
Remote. Sens., 2022

2020
Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2020

Time Series Remote Sensing Data-Based Identification of the Dominant Factor for Inland Lake Surface Area Change: Anthropogenic Activities or Natural Events?
Remote. Sens., 2020

Semisupervised Hyperspectral Image Classification With Cluster-Based Conditional Generative Adversarial Net.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
Evaluating the Spatial Representativeness of the MODerate Resolution Image Spectroradiometer Albedo Product (MCD43) at AmeriFlux Sites.
Remote. Sens., 2019

Rubber Identification Based on Blended High Spatio-Temporal Resolution Optical Remote Sensing Data: A Case Study in Xishuangbanna.
Remote. Sens., 2019

An Improved Fmask Algorithm in Tropical Regions for Landsat Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Land Cover Mapping with Higher Order Graph-Based Co-Occurrence Model.
Remote. Sens., 2018

2016
Estimation of Land Surface Temperature through Blending MODIS and AMSR-E Data with the Bayesian Maximum Entropy Method.
Remote. Sens., 2016

Linking in situ LAI and fine resolution remote sensing data to map reference LAI over cropland and grassland using geostatistical regression method.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
A Robust Fixed Rank Kriging Method for Improving the Spatial Completeness and Accuracy of Satellite SST Products.
IEEE Trans. Geosci. Remote. Sens., 2015

Classification of C3 and C4 Vegetation Types Using MODIS and ETM+ Blended High Spatio-Temporal Resolution Data.
Remote. Sens., 2015

Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data.
Remote. Sens., 2015

2011
Landscape structure based super-resolution mapping from remotely sensed imagery.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Bayesian Maximum Entropy data fusion of field observed LAI and Landsat ETM+ derived LAI.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Spatially explicit epidemiological simulation system of influenza A (H1N1) in China.
Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010

2008
Evaluation of MODIS Land Cover Product of East China.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Validation of AVHRR/MODIS/AMSR-E Satellite SST Products in the West Tropical Pacific.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

The Bidirectional Reflectance Signature of Typical Land Surfaces and Comparison of MISR and MODIS BRDF Products.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

The Effect of Landscape Patterns on the Accuracy of Land Cover Map from Multi-Resolution Remote Sensing Data Classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2005
Exploring the scale effect in land cover mapping from remotely sensed data: the statistical separability-based method.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

The multiple classifiers combination method for improving the accuracy of remotely sensed data classification.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005


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