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

• Geekshub
  • Tools
  • How to run
  • Author

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