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ELA-028
Optronics, infrared, imaging - 2019

Infrared imaging

Analysis and Operation

OBJECTIVE :

This course is intended for those wishing to acquire the basics necessary for understanding and working with infrared images.

COURSE DURATION AND TIMETABLE :

The course lasts 5 days (30 hours) and includes:

  • 14 x 1.5-hours lectures
  • 6 x 1.5-hours of engineering design

GENERAL APPROACH :

Dealing with problems related to scene modeling infrared image analysis.

The teaching is based on a thorough knowledge of the physical phenomena involved in the formation of images.

It includes learning how to use radiation and atmospheric propagation codes.

The knowledge is put into practice with examples of real or simulated image analysis for the detection and recognition of objects.

PREREQUISITE :

Course level: Advanced

Basic knowledge of infrared.

Engineer or senior technician level.

COURSE DIRECTOR(S) :

Joseph CANIOU:

Engineer. Formerly head of expertise in optronics at the DGA/MI, Bruz

CONTENT :

  • Expression of radiative flow, energy balance
    • Radiation laws: thermoreviation, luminescence
    • Photometric quantities
    • Properties of surfaces and environments: emission, absorption, reflection, transmission
    • Equilibrium temperature of objects
  • Knowledge of natural and artificial sources
    • Radiation of stars, sky, clouds
    • Natural elements, building materials, infrastructures
    • Mobile signatures
  • Effects of the atmosphere
    • Extinction (atmospheric windows), diffusion
    • Description and use of propagation codes
    • Influence of propagation on the image
  • Scene modeling (targets and background)
    • Progressive construction of an infrared scene
    • Infrared rendering techniques: projective ray casting method
    • Modeling radiative contributions in the scene
    • Parameterization of modeling, effects on the scene, examples
  • Exploitation of images for detection
    • Influence of the sensor on the image
    • Detection - Recognition - Identification
    • Johnson Criteria and new methods for evaluating matrix sensors
  • Active imaging
    • Image formation
    • Comparison with passive imaging
    • Typical examples of use
  • Algorithmic image processing
    • Improvements and pre-processing
    • Primitive extractions: outlines, regions, movements
    • Study of an example: detection and recognition of floating mines

 

WHEN AND WHERE :

Scheduled in French:

PARIS: 2 to 6 December 2019

 

For the English realization, please, consult us.

 

COURSE FEES :

€2,110 excluding tax (20% VAT)

See general terms

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