https://github.com/kanglcn/sott

Simple Offset Tracking Tool
https://github.com/kanglcn/sott

deformation geophysics geoscience remote-sensing sar

Last synced: 5 months ago
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Simple Offset Tracking Tool

• Host: GitHub
• URL: https://github.com/kanglcn/sott
• Owner: kanglcn
• License: gpl-3.0
• Created: 2022-12-01T05:23:00.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-12-13T21:55:07.000Z (over 3 years ago)
• Last Synced: 2025-10-27T02:47:32.301Z (8 months ago)
• Topics: deformation, geophysics, geoscience, remote-sensing, sar
• Language: Jupyter Notebook
• Homepage:
• Size: 512 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Sott

================

> Simple Pixel Offset Tracking Tool

[Documentation](https://kanglcn.github.io/sott)

[![GitHub](https://img.shields.io/github/license/kanglcn/sott.svg?color=g)](https://github.com/kanglcn/sott/blob/main/LICENSE)

[![Conda](https://img.shields.io/conda/v/conda-forge/sott.svg)](https://anaconda.org/conda-forge/sott)

[![PyPI](https://img.shields.io/pypi/v/sott.svg)](https://pypi.org/project/sott/)

[![PythonVersion](https://img.shields.io/pypi/pyversions/sott.svg?color=blue)](https://pypi.org/project/sott/)

`sott` implements pixel offset tracking method based on amplitude of SAR

images or optical images.

## Install

With conda:

``` bash

conda install -c conda-forge sott

```

With pip:

``` bash

pip install sott

```

In development mode:

``` bash

git clone git@github.com:kanglcn/sott.git ./sott

cd ./sott

pip install -e '.[dev]'

```

## How to use

``` python

import sott as ot

```

Please refer to the [Documentation](https://kanglcn.github.io/sott) for

detailed usage.

## Contact us

- Most discussion happens on [GitHub](https://github.com/kanglcn/sott).

  Feel free to [open an

  issue](https://github.com/kanglcn/sott/issues/new) or comment on any

  open issue or pull request.

- use github [discussions](https://github.com/kanglcn/sott/discussions)

  to ask questions or leave comments.

## Contribution

- Pull requests are welcomed! Before making a pull request, please open

  an issue to talk about it.

- We have notice many excellent open-source packages are rarely paid

  attention to due to lake of documentation. The package is developed

  with the [nbdev](https://nbdev.fast.ai/), a notebook-driven

  development platform. Developers only needs to simply write notebooks

  with lightweight markup and get high-quality documentation, tests,

  continuous integration, and packaging automatically.