Michael A. Chapman

Affiliations:

Toronto Metropolitan University, Department of Civil Engineering, Toronto, ON, Canada

According to our database¹, Michael A. Chapman authored at least 19 papers between 2010 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Robust Lane Extraction From MLS Point Clouds Towards HD Maps Especially in Curve Road.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.

[BibT_eX]

[DOI]

Wesley Nunes Gonçalves

Michael A. Chapman

IEEE Trans. Intell. Transp. Syst., 2022

Assessing the Impact of Covid-19 on Human Activities in the Greater Toronto Area by Nighttime Light Images and Active Covid-19 Cases.

[BibT_eX]

[DOI]

Lanying Wang

Jianshen Wang

Sarah Narges Fatholahi

Michael A. Chapman

Yiping Chen

Jonathan Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Automated Detection of Oil/Gas Well Sites Detection from Multi-Source High Spatial Resolution Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.

[BibT_eX]

[DOI]

Wesley Nunes Gonçalves

Michael A. Chapman

IEEE Trans. Intell. Transp. Syst., 2021

2020

Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

2019

Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

2018

Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2018

Semiautomated Segmentation of Sentinel-1 SAR Imagery for Mapping Sea Ice in Labrador Coast.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Quantifying the Carbon Storage in Urban Trees Using Multispectral ALS Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Road Surface Monitoring Using Smartphone Sensors: A Review.

[BibT_eX]

[DOI]

Shahram Sattar

Songnian Li

Michael A. Chapman

Sensors, 2018

Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.

[BibT_eX]

[DOI]

Remote. Sens., 2018

2015

Automated Road Information Extraction From Mobile Laser Scanning Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2015

Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2015

2013

Process virtualization of large-scale lidar data in a cloud computing environment.

[BibT_eX]

[DOI]

Comput. Geosci., 2013

2010

Segmentation of SAR Intensity Imagery With a Voronoi Tessellation, Bayesian Inference, and Reversible Jump MCMC Algorithm.

[BibT_eX]

[DOI]

Yu Li

Jonathan Li

Michael A. Chapman

IEEE Trans. Geosci. Remote. Sens., 2010

Michael A. Chapman

Timeline

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