Po-Wei Tang

According to our database, Po-Wei Tang authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping.

Chia-Hsiang Lin, Po-Wei Tang, Alfredo R. Huete

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing.

Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu

IEEE Trans. Geosci. Remote. Sens., 2024

2023

CODE-MM: Convex Deep Mangrove Mapping Algorithm Based on Optical Satellite Images.

Chia-Hsiang Lin, Man-Chun Chu, Po-Wei Tang

IEEE Trans. Geosci. Remote. Sens., 2023

2022

ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning.

Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang

IEEE Trans. Geosci. Remote. Sens., 2022

Optimization-Based Hyperspectral Spatiotemporal Super-Resolution.

Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu

IEEE Access, 2022

Hyperspectral Dehazing Using Admm-Adam Theory.

Po-Wei Tang, Chia-Hsiang Lin

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution.

Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

2021

Inverse Problem Transform: Solving Hyperspectral Inpainting Via Deterministic Compressed Sensing.

Chia-Hsiang Lin, Po-Wei Tang

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

Deep Hyperspectral Tensor Completion Just Using Small Data.

Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang, Man-Chun Chu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021