16 citations · 16 across the 3 of their papers we have counts for
5 papers
HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration
Chia-Hsiang Lin, Si-Sheng Young
Quantum machine intelligence starts showing its impact on satellite remote sensing (SRS). Also, recent literature exhibits that quantum generative intelligences encompass superior…
A Quantum-Empowered SPEI Drought Forecasting Algorithm Using Spatially-Aware Mamba Network
Po-Wei Tang, Chia-Hsiang Lin, Jian-Kai Huang +1
Due to the intensifying impacts of extreme climate changes, drought forecasting (DF), which aims to predict droughts from historical meteorological data, has become increasingly cr…
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping
Chia-Hsiang Lin, Po-Wei Tang, Alfredo R. Huete
A mangrove mapping (MM) algorithm is an essential classification tool for environmental monitoring. The recent literature shows that compared with other index-based MM methods that…
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing
Po-Wei Tang, Chia-Hsiang Lin, Yangrui Liu
Hyperspectral dehazing (HyDHZ) has become a crucial signal processing technology to facilitate the subsequent identification and classification tasks, as the airborne visible/infra…
Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection
Chia-Hsiang Lin, Tzu-Hsuan Lin, Jocelyn Chanussot
Change detection (CD) is a critical remote sensing technique for identifying changes in the Earth's surface over time. The outstanding substance identifiability of hyperspectral im…