Po-Wei Tang

12 papers C 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Quantum-Empowered SPEI Drought Forecasting Algorithm Using Spatially Aware Mamba Network.
IEEE Trans. Geosci. Remote. Sens.
Po-Wei Tang, Chia-Hsiang Lin, Jian-Kai Huang, Alfredo R. Huete
2025 J jnl
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping.
CoRR
Chia-Hsiang Lin, Po-Wei Tang, Alfredo R. Huete
2025 J jnl
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping.
IEEE Trans. Geosci. Remote. Sens.
Chia-Hsiang Lin, Po-Wei Tang, Alfredo R. Huete
2025 J jnl
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing.
CoRR
Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu
2024 J jnl
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing.
IEEE Trans. Geosci. Remote. Sens.
Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu
2023 J jnl
CODE-MM: Convex Deep Mangrove Mapping Algorithm Based on Optical Satellite Images.
IEEE Trans. Geosci. Remote. Sens.
Chia-Hsiang Lin, Man-Chun Chu, Po-Wei Tang
2022 — conf
A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution.
WHISPERS
Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu
2022 J jnl
ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning.
IEEE Trans. Geosci. Remote. Sens.
Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang
2022 — conf
Hyperspectral Dehazing Using Admm-Adam Theory.
WHISPERS
Po-Wei Tang, Chia-Hsiang Lin
2022 J jnl
Optimization-Based Hyperspectral Spatiotemporal Super-Resolution.
IEEE Access
Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu
2021 C conf
Deep Hyperspectral Tensor Completion Just Using Small Data.
IGARSS
Chia-Hsiang Lin, Yen-Cheng Lin, Po-Wei Tang, Man-Chun Chu
2021 — conf
Inverse Problem Transform: Solving Hyperspectral Inpainting Via Deterministic Compressed Sensing.
WHISPERS
Chia-Hsiang Lin, Po-Wei Tang