Tao Liu

Michigan Technological University

United States

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Articles (6)

Year:

2025

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (3)

Parth Bhatt

Assistant Teaching Professor/Researcher

Michigan Technological University

UNITED STATES

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Amr Abd-Elrahman

Associate Professor

UNITED STATES

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Pengfei Xue

Assistant Professor

Michigan Technological University

UNITED STATES

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Tao Liu

Research Interests

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Articles (6)

Deep Learning Meets Object-Based Image Analysis: Tasks, challenges, strategies, and perspectives

Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach

Object-Detection from Multi-View remote sensing Images: A case study of fruit and flower detection and counting on a central Florida strawberry farm

Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast

A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability and Transferability

A spectral three-dimensional color space model of tree crown health

Collaborators (3)

Parth Bhatt

Amr Abd-Elrahman

Pengfei Xue

Make your next move.

Tao Liu

Research Interests

Explore related searches

Contact this professor

Articles (6)

Deep Learning Meets Object-Based Image Analysis: Tasks, challenges, strategies, and perspectives

Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach

Object-Detection from Multi-View remote sensing Images: A case study of fruit and flower detection and counting on a central Florida strawberry farm

Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast

A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images&mdash;Analysis Unit, Model Scalability and Transferability

A spectral three-dimensional color space model of tree crown health

Collaborators (3)

Parth Bhatt

Amr Abd-Elrahman

Pengfei Xue

Make your next move.

A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images—Analysis Unit, Model Scalability and Transferability