On training deep networks for satellite image super-resolution

06/16/2019
by   Michal Kawulok, et al.
0

The capabilities of super-resolution reconstruction (SRR)---techniques for enhancing image spatial resolution---have been recently improved significantly by the use of deep convolutional neural networks. Commonly, such networks are learned using huge training sets composed of original images alongside their low-resolution counterparts, obtained with bicubic downsampling. In this paper, we investigate how the SRR performance is influenced by the way such low-resolution training data are obtained, which has not been explored up to date. Our extensive experimental study indicates that the training data characteristics have a large impact on the reconstruction accuracy, and the widely-adopted approach is not the most effective for dealing with satellite images. Overall, we argue that developing better training data preparation routines may be pivotal in making SRR suitable for real-world applications.

READ FULL TEXT
research
02/26/2020

Super-Resolving Commercial Satellite Imagery Using Realistic Training Data

In machine learning based single image super-resolution, the degradation...
research
11/11/2020

Invertible CNN-Based Super Resolution with Downsampling Awareness

Single image super resolution involves artificially increasing the resol...
research
01/25/2021

Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution

The PROBA-V Super-Resolution challenge distributes real low-resolution i...
research
06/15/2019

Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution

Rendering an accurate image of an isosurface in a volumetric field typic...
research
06/22/2023

Super-Resolution of BVOC Emission Maps Via Domain Adaptation

Enhancing the resolution of Biogenic Volatile Organic Compound (BVOC) em...
research
11/29/2020

Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images

The major drawbacks with Satellite Images are low resolution, Low resolu...

Please sign up or login with your details

Forgot password? Click here to reset