4 papers · 1 filter
A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution
Murat Karayaka, Usman Muhammad, Jorma Laaksonen +2
This study presents a lightweight dual-domain super-resolution network (DDSRNet) that combines Spatial-Net with the discrete wavelet transform (DWT). Specifically, our proposed mod…
Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
Usman Muhammad, Jorma Laaksonen
Hyperspectral single image super-resolution (SISR) is a challenging task due to the difficulty of restoring fine spatial details while preserving spectral fidelity across a wide ra…
TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Roshaan Ali Shah +5
Modern Earth observation (EO) increasingly leverages deep learning to harness the scale and diversity of satellite imagery across sensors and regions. While recent foundation model…
A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
Usman Muhammad, Jorma Laaksonen
The fusion of low-spatial-resolution hyperspectral images (HSIs) with high-spatial-resolution conventional images (e.g., panchromatic or RGB) has played a significant role in recen…