Baoxin Hu
Orcid: 0000-0002-1858-6922
According to our database1,
Baoxin Hu
authored at least 39 papers
between 1999 and 2024.
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Bibliography
2024
Land Cover Classification of Subarctic Wetlands Using Multisource Remotely Sensed Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Multi-Source Data Approach for Land Use/Landcover Change in the Clay Belt of Ontario, Canada.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Potential Carbon Emissions and Carbon Sequestration in the Clay Belt Following Land Conversions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Improving Land Cover Classification In Subarctic Wetlands Using Multi-Source Remotely Sensed Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
An Advanced Data Fusion Method to Improve Wetland Classification Using Multi-Source Remotely Sensed Data.
Sensors, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study.
ISPRS Int. J. Geo Inf., 2021
2020
A New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery.
Remote. Sens., 2020
ISPRS Int. J. Geo Inf., 2020
Use of geospatial methods to characterize dispersion of the Emerald ash borer in southern Ontario, Canada.
Ecol. Informatics, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
CNN-Based Tree Species Classification Using Airborne Lidar Data and High-Resolution Satellite Image.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
The Integration of Multi-source Remotely-Sensed Data in Support of the Classification of Wetlands.
Remote. Sens., 2019
2017
An Integrated Approach to Generating Accurate DTM from Airborne Full-Waveform LiDAR Data.
Remote. Sens., 2017
2016
Automatic identification and extraction of forest road through advanced LoG matching techniques.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
A Two-Level Approach for Species Identification of Coniferous Trees in Central Ontario Forests Based on Multispectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Characterization of tree structures from mobile LiDAR data for the identification of ASH trees.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
An Algorithm for Boundary Adjustment toward Multi-Scale Adaptive Segmentation of Remotely Sensed Imagery.
Remote. Sens., 2014
Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2014
Tree species identification and subsequent health determination from mobile LiDAR data.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Individual Urban Tree Species Classification Using Very High Spatial Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles.
Remote. Sens., 2012
J. Sens. Actuator Networks, 2012
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Comprehensive Utilization of Temporal and Spatial Domain Outlier Detection Methods for Mobile Terrestrial LiDAR Data.
Remote. Sens., 2011
2010
Individual tree species classification using structure features from high density airborne lidar data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2008
Automatic Forest Species Classification using Combined LIDAR Data and Optical Imagery.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
The Frequent Image Frames Enhanced Digital Orthorectified Mapping (FIFEDOM) Camera for Acquiring Multiangular Reflectance From the Land Surface.
IEEE Trans. Geosci. Remote. Sens., 2007
Forest structural information derived from multi-angular FIFEDOM (Frequent Image Frames Enhanced Digital Ortho-rectified Mapping) data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2006
The FIFEDOM (Frequent Image Frames Enhanced Digital Orthorectified Mapping) Camera for Automatic Mapping of Tree Species and Structures.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
2002
Quantitative evaluation of hyperspectral data compressed by near lossless onboard compression techniques.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Investigation of linear spectral mixtures of the reflectance spectra using laboratory simulated forest scenes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
1999
The interrelationship of atmospheric correction of reflectances and surface BRDF retrieval: a sensitivity study.
IEEE Trans. Geosci. Remote. Sens., 1999