# Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery

Source: [Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery](<https://www.sota2.com/research/paper/68fa6ecb1e209131cea4230b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T01:06:49.536Z

Authors: Jamy Lafenetre, Ngoc Long Nguyen, Gabriele Facciolo, Thomas Eboli

Published: 2023-03-10T12:13:31.000Z

## Abstract

Image resolution is an important criterion for many applications based on satellite imagery. In this work, we adapt a state-of-the-art kernel regression technique for smartphone camera burst super-resolution to satellites. This technique leverages the local structure of the image to optimally steer the fusion kernels, limiting blur in the final high-resolution prediction, denoising the image, and recovering details up to a zoom factor of 2. We extend this approach to the multi-exposure case to predict from a sequence of multi-exposure low-resolution frames a high-resolution and noise-free one. Experiments on both single and multi-exposure scenarios show the merits of the approach. Since the fusion is learning-free, the proposed method is ensured to not hallucinate details, which is crucial for many remote sensing applications.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Multi-Image Super-Resolution on SyntheticBurst (test)](<https://www.sota2.com/research/sota/multi-image-super-resolution-on-syntheticburst-test.md>): Multi-image Super-resolution; SyntheticBurst (test); PSNR: 26.46.

- [Multi-Image Super-Resolution on SatSynthBurst (test)](<https://www.sota2.com/research/sota/multi-image-super-resolution-on-satsynthburst-test.md>): Multi-image Super-resolution; SatSynthBurst (test); PSNR: 27.7.

- [Multi-image super-resolution on SatSynthBurst](<https://www.sota2.com/research/sota/multi-image-super-resolution-on-satsynthburst.md>): Multi-image Super-resolution; SatSynthBurst; PSNR: 33.46.

- [Multi-image super-resolution on SyntheticBurst](<https://www.sota2.com/research/sota/multi-image-super-resolution-on-syntheticburst.md>): Multi-image Super-resolution; SyntheticBurst; PSNR: 27.02.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2303.05879>)

[PDF](<https://arxiv.org/pdf/2303.05879.pdf>)