Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation

11/05/2021
by   Muhammed Razzak, et al.
0

High resolution remote sensing imagery is used in broad range of tasks, including detection and classification of objects. High-resolution imagery is however expensive, while lower resolution imagery is often freely available and can be used by the public for range of social good applications. To that end, we curate a multi-spectral multi-image super-resolution dataset, using PlanetScope imagery from the SpaceNet 7 challenge as the high resolution reference and multiple Sentinel-2 revisits of the same imagery as the low-resolution imagery. We present the first results of applying multi-image super-resolution (MISR) to multi-spectral remote sensing imagery. We, additionally, introduce a radiometric consistency module into MISR model the to preserve the high radiometric resolution of the Sentinel-2 sensor. We show that MISR is superior to single-image super-resolution and other baselines on a range of image fidelity metrics. Furthermore, we conduct the first assessment of the utility of multi-image super-resolution on building delineation, showing that utilising multiple images results in better performance in these downstream tasks.

READ FULL TEXT

page 2

page 3

page 4

page 5

page 10

page 12

page 16

page 17

research
10/06/2022

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution

Insufficient spatial resolution of satellite imagery, including Sentinel...
research
03/21/2021

A new public Alsat-2B dataset for single-image super-resolution

Currently, when reliable training datasets are available, deep learning ...
research
04/04/2022

Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution

Automated tracking of urban development in areas where construction info...
research
03/10/2023

Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery

Image resolution is an important criterion for many applications based o...
research
05/09/2022

Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images

Despite the plethora of successful Super-Resolution Reconstruction (SRR)...
research
04/14/2023

L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery

High-resolution satellite imagery is a key element for many Earth monito...
research
05/26/2021

Permutation invariance and uncertainty in multitemporal image super-resolution

Recent advances have shown how deep neural networks can be extremely eff...

Please sign up or login with your details

Forgot password? Click here to reset