| satellite-image-deep-learning/techniques |
10,034 |
|
0 |
0 |
about 2 months ago |
0 |
|
2 |
apache-2.0 |
|
| Techniques for deep learning with satellite & aerial imagery |
| sacridini/Awesome-Geospatial |
3,703 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
cc0-1.0 |
|
| Long list of geospatial tools and resources |
| chrieke/awesome-satellite-imagery-datasets |
3,381 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
mit |
|
| 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning |
| obss/sahi |
3,340 |
|
0 |
12 |
about 2 years ago |
101 |
November 05, 2023 |
11 |
mit |
Python |
| Framework agnostic sliced/tiled inference + interactive ui + error analysis plots |
| microsoft/torchgeo |
2,067 |
|
0 |
4 |
about 2 years ago |
10 |
November 10, 2023 |
123 |
mit |
Python |
| TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data |
| azavea/raster-vision |
1,956 |
|
0 |
7 |
about 2 years ago |
11 |
October 17, 2023 |
42 |
other |
Python |
| An open source library and framework for deep learning on satellite and aerial imagery. |
| Shank2358/GGHL |
584 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection) |
| jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships |
561 |
|
0 |
0 |
about 1 year ago |
0 |
|
0 |
mit |
|
| This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis. |
| ChenHongruixuan/ChangeDetectionRepository |
434 |
|
0 |
0 |
over 4 years ago |
0 |
|
|
mit |
Python |
| This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods. |
| ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing |
379 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
TeX |
| A comprehensive list of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP |
