/satellite-data

Satellite-image-based surface reconstruction in MicMac

Primary LanguageJupyter NotebookOtherNOASSERTION

Satellite-image-based surface reconstruction in MicMac

Compute the surface and generate an orthohoto given a set of modern satellite images and their RPC geolocalisations. After setting-up MicMac and downloading the dataset, the pipeline is as follows:

  1. Tie-points extraction
  2. RPC-bundle adjustement
  3. Surface computation

Table of Content

Tools

  1. Python
  2. Micmac
  3. Opencv
  4. Matplotlib
  5. Notebooks
  6. Numpy

How to run

  • Enter the directory where the script is located then type the following to the console
$ git clone https://github.com/sherif-abdallah/satellite-data satellite-data
  • Install Python 3.8 venv, pip and compiler
$ sudo apt-get install python3.8 python3.8-venv python3-venv
  • Create a virtual environment to install dependencies in and activate it:
$ python3.8 -m venv venv
$ source venv/bin/activate
  • Then install the dependencies:
(venv)$ cd satellite-data
(venv)$ python -m pip install --upgrade pip
(venv)$ python -m pip install numpy open opencv-python matplotlib notebook

Note the (venv) in front of the prompt. This indicates that this terminal session operates in a virtual environment set up by virtualenv.

  • Finally open the Jupyter Notebook Script
(venv)$ python -m notebook notebook.ipynb
  • And navigate to http://127.0.0.1:8888.

Author

Sherif Abdullah