Weimin Huang

Professor

Memorial University of Newfoundland

Canada

Research Interests

Explore related searches

Professors in Canada Professors in Remote Sensing Remote Sensing professors in Canada

About

Weimin Huang is a Professor at Memorial University of Newfoundland, Canada. His research areas include remote sensing, deep learning applications in environmental monitoring, and maritime target detection methods. His recent publications focus on topics such as ship target detection using high-frequency surface wave radar and the impacts of climate change on oceanographic studies.

Articles (30)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Weimin Huang

Research Interests

Explore related searches

About

Articles (30)

Cascaded Detection Method for Ship Targets Using High-Frequency Surface Wave Radar in the Time–Frequency Domain

Impacts of Climate Change on Oceans and Ocean-Based Solutions: A Comprehensive Review from the Deep Learning Perspective

Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery

Editorial: Remote sensing in ecological environments: innovations and achievements

A Track Segment Association Method Based on Heuristic Optimization Algorithm and Multistage Discrimination

A Conditional Denoising Diffusion Probabilistic Model for Sea Ice Concentration Estimation

A Deep Learning-Based Time-Frequency Scheme for Ship Detection Using HFSWR

A Joint Detection and Tracking Paradigm Based on Reinforcement Learning for Compact HFSWR

A Method for Shipborne HFSWR Target Echo Motion Compensation Based on AIS

DiffWater: A Conditional Diffusion Model for Estimating Surface Water Fraction Using CyGNSS Data

Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO

Pixel U-Net: an improved version of U-Net for binary segmentation of wind turbine blades

Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods

Retrieval of sea ice thickness from FY-3E data using Random Forest method

Editorial: Prediction and (back)tracking of marine oil spill drift and diffusion

Intelligent kick detection using a parameter adaptive neural network

A new method to limit thermal energy required to de-ice the leading edge of a cylindrical surface

3-D Sharpened Cosine Similarity Operation for Hyperspectral Image Classification

A Recursive Gaussian Newton Based Variable Parameter Adaptive Receiver for Single-Carrier Underwater Acoustic Communications

Mapping Surface Water Fraction Over the Pan-Tropical Region Using CYGNSS Data

Combining ERA5 data and CYGNSS observations for the joint retrieval of global significant wave height of ocean swell and wind wave: a deep convolutional neural network approach

Lost circulation monitoring using bi-directional LSTM and data augmentation

Joint Retrieval of Sea Surface Rainfall Intensity, Wind Speed, and Wave Height Based on Spaceborne GNSS-R: A Case Study of the Oceans near China

GloWS-Net: A Deep Learning Framework for Retrieving Global Sea Surface Wind Speed Using Spaceborne GNSS-R Data

Inland Water Mapping Based on GA-LinkNet From CyGNSS Data

Multi-scale Neighborhood Attention Transformer with Optimized Spatial Pattern for Hyperspectral Image Classification

Rotation is All You Need: Cross Dimensional Residual Interaction for Hyperspectral Image Classification

Sea Ice Classification Using Mutually Guided Contexts

Track-to-Track Association Based on Maximum Likelihood Estimation for T/R-R Composite Compact HFSWR

Plot Quality Aided Plot-to-Track Association in Dense Clutter for Compact High-Frequency Surface Wave Radar

Make your next move.