Presentation

Introduction

MicMac is a free open-source (Cecill-B licence) photogrammetric suite that can be used in a variety of 3D reconstruction scenarios. In aims mainly at professionnal or academic users but constant efforts are made to make it more accessible to the general public.

One of MicMac strengths is its high degree of versatility. It can indeed be used in various fields : cartography, environment, industry, forestry, heritage, archaeology,...

MicMac allows both the creation of 3D models and of ortho-imagery when appropriate.

The software is suitable to every type of objects of any scale : from small object or statues with acquisition from the ground, to church, castle through drone acquisitions, to buildings, cities or natural areas through aerial or satellite acquisitions. The tools also allow for the georeferencing of the end products in local/global/absolute coordinates system. Some complementary tools opens the fields of metrology and site surveying.

To discover MicMac, its environment, its philosophy and the main tools it offers: [1]

To access the MicMac reference documentation : [2]

Examples

These are some examples of surveys were MicMac was used for the photogrammetric processing.

Digitizing the castle of Chambord

Two survey campaigns of two weeks were organised in Chambord castle during the autumns of 2014 and 2015 in order to digitize this national heritage monument. These surveys were conducted by students of the ENSG PPMD master as educational fieldwork. The following methods were used there : laser scanning, photogrammetry, topography, geodesy, remote sensing, etc... The student have for example surveyed the fronts of the castle :

3D modelization of Mourres site

Here are some results from a project made by ENSG students, at Forcalquier. Ground acquisition and from UAV. Photogrametric workflow was made on Micmac, and the layout on QGIS.

Canopy Survey

A UAV-survey was organised in Grand-Leez in Belgium by l’Unité Gestion des Ressources Forestières et des Milieux Naturels (GRFMN), Université de Liège. The aim of this survey was to generate a DCM (Digital Canopy Model) for forestery applications.