satellite image super-resolution

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (12 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
  20 Mar 2020 4 repositories listed
  Inspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and use different detector networks in…
• Pansharpening by convolutional neural networks in the full resolution framework
  16 Nov 2021 2 repositories listed
  A further problem is the scarcity of training data, which causes a limited generalization ability and a poor performance on off-training test images.
• The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
  10 Dec 2018 2 repositories listed
  We also quantify the performance of object detection as a function of native resolution and object pixel size.
• Fast Full-Resolution Target-Adaptive CNN-Based Pansharpening Framework
  5 Jan 2023 1 repository listed
  In this work, we propose a variant of this method with an effective target-adaptation scheme that allows for the reduction in inference time by a factor of ten, on average, without accuracy loss.