REmote Sensing and Image Processing in PYthon
Remote Sensing and Image Processing in Python
ReSIPPy is a set of tools to perform image processing with a focus on overhead and spectral remote sensing applications. Some features include:
- Navigation from world coordinate to camera pixel coordinates
- Navigation from pixel coordinates to world coordinates
- Spectral matched filters
- Reading spectral libraries
The installation of ReSIPPy requires two tricky dependencies:
We prefer to use conda to manage our Python environments and dependencies. To install Anaconda (or Miniconda), follow the instructions in the Anaconda Docs. Once you have a working conda installation, clone this repo and create an environment for working with ReSIPPy:
$ conda env create -f environment.yml
Then, activate the environment to work with ReSIPPy:
$ conda activate resippy
ReSIPPy is also available on PyPi and can be installed using pip:
$ pip install resippy
Installation using pip may require the user to download and install additional system level dependencies.
This project uses Sphinx for documentation.
To build HTML documentation, navigate to the
docs folder and run the following:
$ make html
When completed, the HTML documentation will be available in
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