Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/iceye-ltd/icecube

Create time-series datacubes for supervised machine learning with ICEYE SAR images.
https://github.com/iceye-ltd/icecube

Last synced: about 1 month ago
JSON representation

Create time-series datacubes for supervised machine learning with ICEYE SAR images.

Host: GitHub
URL: https://github.com/iceye-ltd/icecube
Owner: iceye-ltd
License: mit
Created: 2021-08-24T14:27:41.000Z (almost 3 years ago)
Default Branch: main
Last Pushed: 2021-12-09T09:10:23.000Z (over 2 years ago)
Last Synced: 2024-02-07T17:36:53.258Z (5 months ago)
Language: Python
Homepage:
Size: 2.73 MB
Stars: 78
Watchers: 11
Forks: 10
Open Issues: 5
Metadata Files:
- Readme: Readme.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS

Lists

awesome-earthobservation-code - icecube - Create time-series datacubes for supervised machine learning with ICEYE SAR images. `Python` (`Python` processing of optical imagery (non deep learning) / Company specific examples)
my-awesome-stars - iceye-ltd/icecube - Create time-series datacubes for supervised machine learning with ICEYE SAR images. (Python)

README

ICEcube is a Python library intended to help organize SAR images and annotations for supervised machine learning applications. The library generates multidimensional SAR image and labeled data arrays.

The datacubes stack SAR time-series images in range and azimuth and can preserve the geospatial content, intensity, and complex SAR signal from the ICEYE SAR images. You can use the datacubes with ICEYE Ground Range Detected (GRD) geotifs and ICEYE Single Look Complex (SLC) .hdf5 product formats.

![alt text](https://github.com/iceye-ltd/icecube/blob/main/assets/icecube.png)

>This work is sponsored by ESA Φ-lab as part of the AI4SAR initiative.

## Getting Started
You need **Python 3.8 or later** to use the ICEcube library.

The installation options depend on whether you want to use the library in your Python scripts or you want to contribute to it. For more information, see [Installation](https://iceye-ltd.github.io/icecube/installation).

## ICEcube Examples
To test the Jupyter notebooks and for information on how to use the library, see the [ICEcube Documentation](https://iceye-ltd.github.io/icecube/).

## AI4SAR Project Updates
For the latest project updates, see [SAR for AI Development](https://www.iceye.com/sar-data/ai4sar).