Illustration of satellite VENµS © IDE/SARIAN Robin, 2015

Sensor Geometry is a Magellium’s historical expertise.

The detailed geometric modelling of a satellite sensor, which consists in modelling the path of the light from the Earth to the sensor, is a prerequisite for obtaining the most accurate geolocation of the pixels in an image. The main objective is to correct the data in order to make them usable for further specific processing (fusion with another georeferenced data, cartography, GIS etc.)

Sensor geometry is strong expertise mainly applied to satellite imagery, but also to images acquired by airplane or UAV. In addition to the initial geometric modelling, we develop algorithms that optimise the acquisition parameters through image registration when they are inaccurate, and we operate these models in applications such as ortho-rectification, 3D reconstruction, etc…

We are now alo using deep learning with the objective of performing tasks that previously required development of complex algorithms. Deep learning is now moving out of its theoretical  and R&D dimension to find operational applications.

geometrie capteurs

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Our Expertise

Geometric modelling

Bundle adjustment

3D reconstruction

Deep learning

Space Surveillance and Tracking

Key projects

We are participating to many sensor geometry projects. Some major ones are listed here :

LibGeo

LibGEO is the generic geometric library of CNES. Initially developed for the advent of the CO3D mission (CNES 3D optical satellites that will map the planet in 3D), its scope has been progressively extended to all future CNES space imaging or sounding missions (IASI-NG, Microcarb, 3MI, TRISHNA, etc). LibGEO aims at modelling the satellite sensors and optimising these models to obtain an accurate geolocation of the images. This project is associated with the DGA (French Armed Forces General Directorate) and IGN (National Institute of Geographic and Forestry Information) and benefits to CNES, CEA, DGA, TAS, etc.

libgeo cnes magellium observation terre

3D reconstruction of urban areas

Through CNES contracts and own investments, we conduct  a series of studies to build a 3D representation of urban areas from multi-stereo images like Pleiades (spatial resolution 50cm). The work follows several phases: 3D reconstruction of the DSM from multi-stereo images (by stereo-correlation), enhancement of the DSM (by deep learning), detection of building footprints (by deep learning), segmentation of the roof slopes (by deep learning) and construction of LOD2 building models.

CO2M – 3MI – FLEX L2

We are involved in prototypes of processing chains for ESA or EUMETSAT on the geometric modules, based on the EO CFI software or on internal solutions. In particular, we optimise the coregistration between different sensors or bands, we geo-localise raw images and ortho-rectify them on global DEMs. These prototypes are used to assist the design of the instrument and to define the expected performances of the operational processing chain.

Learn more about CO2M, 3MI and FLEX.

flex satellite observation terre vegetation magellium

Illustration of satellite for FLEX L2

Space Surveillance and Tracking

CNES has access to the TAROT observatories and uses them for space surveillance. These three fully robotised observatories can acquire several hundred images per night of observation. We work on the detection and localisation of RSO (Resident Space Object) present in TAROT images. The successive studies led to the Triton software used for several years in operational mode. This software offers the following possibilities: operational for terrestrial, sidereal or satellite tracking, detection, astrometric reduction for the celestial location of objects, photometric calibration for magnitude of objects, modelling of atmospheric refraction and optical distortion.

passivation space surveillance tracking magellium

Passivation

digital surface monitoring observation terre donnees satellite

3D reconstruction, processed by Earth Observation unit

esa cnes dga airbus thales observation terre
agence spatiale europenne esa
direction generale armees dga
gouvernement francais
ads airbus defense and space
centre nationale etudes spatiales cnes
tas thales aenia space

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observation de la terre

SCIENCE FOR EARTH CARE

The Earth Observation Unit of Magellium  is an expert in optical space missions and geophysical and biophysical applications. The EO unit provides high level of expertise and full capacity on the whole processing chain, enabling it to respond to all projects from the greatest space orders such as ESA and CNES.

Contact

eo@magellium.fr

 

+33 5 62 24 70 00

 

1, rue Ariane
31520 Ramonville Saint-Agne FRANCE