Swin2‐MoSE: A new single image supersolution model for remote sensing
Due to the limitations of current optical and sensor technologies and the high cost of
updating them, the spectral and spatial resolution of satellites may not always meet desired …
updating them, the spectral and spatial resolution of satellites may not always meet desired …
Recursive Self-Attention Modules based Network for Panchromatic and Multispectral Image Fusion
C Liu, L Wei, Z Zhang, X Feng… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
In the field of remote sensing, image fusion technology plays a crucial role in observing the
state of global resources and environmental conditions, proposing response strategies, and …
state of global resources and environmental conditions, proposing response strategies, and …
High-Resolution Building and Road Detection from Sentinel-2
W Sirko, EA Brempong, JTC Marcos, A Annkah… - ar** buildings and roads automatically with remote sensing typically requires high-
resolution imagery, which is expensive to obtain and often sparsely available. In this work …
resolution imagery, which is expensive to obtain and often sparsely available. In this work …
On the role of alias and band-shift for sentinel-2 super-resolution
NL Nguyen, J Anger, L Raad… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
In this work, we study the problem of single-image super-resolution (SISR) of Sentinel-2
imagery. We show that thanks to its unique sensor specification, namely the inter-band shift …
imagery. We show that thanks to its unique sensor specification, namely the inter-band shift …
Revisiting remote sensing cross-sensor Single Image Super-Resolution: the overlooked impact of geometric and radiometric distortion
In remote sensing, Single Image Super-Resolution can be learned from large cross-sensor
datasets with matched High Resolution and Low Resolution satellite images, thus avoiding …
datasets with matched High Resolution and Low Resolution satellite images, thus avoiding …
Enhancing Image Resolution: A Simulation Study and Sensitivity Analysis of System Parameters for Resourcesat-3S/3SA
Resourcesat-3S/3SA, an upcoming Indian satellite, is designed with Aft and Fore payloads
capturing stereo images at look angles of-5deg and 26deg, respectively. Operating at 632.6 …
capturing stereo images at look angles of-5deg and 26deg, respectively. Operating at 632.6 …
Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution
Learning deep super-resolution models without the need for ground truth data at a higher
resolution is critical for satellite imaging applications. This is either due to the lack of existing …
resolution is critical for satellite imaging applications. This is either due to the lack of existing …
12 Deep Learning Methods
In the realm of modern remote sensing, satellite imagery plays a pivotal role in
understanding and managing our world. Invaluable insights into diverse fields, such as …
understanding and managing our world. Invaluable insights into diverse fields, such as …
Deep Learning Methods for Satellite Image Super-Resolution
D Valsesia, E Magli - Signal and Image Processing for Remote Sensing - taylorfrancis.com
Satellite image super-solution with deep learning techniques is a very active field of
research. As overviewed in this chapter, most of the work has focused on designing novel …
research. As overviewed in this chapter, most of the work has focused on designing novel …
[PDF][PDF] Self Super-Resolution of Time-Separated Multispectral Bands
The usual system design compromise in high resolution satellites is to have a higher spatial
resolution panchromatic (PAN) channel with 3 or 4 lower spatial resolution multispectral …
resolution panchromatic (PAN) channel with 3 or 4 lower spatial resolution multispectral …