Simultaneous Multi-Wavelength Polarized Imaging for Scene Identification

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Solution Overview

Problem

Existing multispectral and polarimetric imaging techniques are ineffective in identifying the nature of objects, especially in dynamic scenes or under atmospheric disturbances, due to sequential image acquisition and sensitivity to illumination fluctuations.

Innovation Solution

A method involving simultaneous acquisition of polarized images at multiple wavelengths, followed by calculation of intensity and polarization contrast spectra to produce spectro-polarimetric correlation images, which correlate the intensity and polarization spectra to identify objects effectively in static and moving scenes, even in the presence of atmospheric turbulence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sequential image acquisition is used in multispectral or polarimetric imaging, then the system complexity is reduced and ease of operation is improved, but the reliability deteriorates when the scene varies over time or under atmospheric disturbances

Engineering Contradiction:
Improveidentification reliabilityVSAvoidimaging system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent combines multiple wavelengths into a single illumination beam and simultaneously acquires both parallel and orthogonal polarized images at all wavelengths at once. This merging approach captures the complete spectral-polarimetric signature in a single shot, eliminating temporal variations and atmospheric interference that would affect sequential acquisition methods.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent transitions from sequential temporal acquisition to simultaneous spatial acquisition by using a spatial light modulator and wavelength multiplexing. The system encodes multiple wavelengths and polarization states into different spatial regions of the detector, allowing parallel measurement of all parameters without temporal separation.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Productivity

If sequential acquisition of multiple wavelengths is performed, then the device complexity is reduced, but the productivity deteriorates due to time-consuming acquisition

Engineering Contradiction:
Improveacquisition speedVSAvoidimaging system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements continuous simultaneous measurement of all wavelengths and polarization states through a single illumination event. The spectral light source continuously illuminates all wavelengths, and the detector continuously captures all polarized components at once, eliminating the stop-start nature of sequential acquisition and maximizing information capture efficiency.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system uses a spatial light modulator that can dynamically configure the illumination and detection paths. This dynamic element allows the system to rapidly switch between different measurement configurations without mechanical movement, enabling flexible simultaneous acquisition of multiple parameters through electronic control rather than sequential mechanical operations.

Inventive Principle:
Principle #15Dynamics

3Loss of information

If sequential image acquisition is used, then the ease of operation is improved, but the loss of information increases due to illumination fluctuations between acquisitions

Engineering Contradiction:
Improveinformation lossVSAvoidoperation simplicity
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The patent performs preliminary action by capturing all necessary polarimetric and spectral information simultaneously before any temporal variations can occur. The complete set of parallel and orthogonal polarized images at all wavelengths is acquired in a single instantaneous measurement, freezing the scene state and eliminating information loss from subsequent illumination changes.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables effective identification of object nature by correlating intensity and polarization spectra, reducing noise from temporal illumination fluctuations and providing consistent statistics across orthogonal images, thus overcoming limitations of existing techniques.

Implementation Method 1

Illuminating the scene with a beam of N wavelengths, polarized according to a determined direction... acquisition for each wavelength of an image polarized according to said direction... and of an image polarized according to a direction perpendicular to said direction

Methodology Applied
Scientific EffectPolarization: Polarisation

Data Source

PatentUS8655017B2Method for identifying a scene from multiple wavelength polarized images
Publication Date: 2014.02.18 THALES SA
  • US8655017B2 patent drawing
  • US8655017B2 patent drawing
  • US8655017B2 patent drawing

AI summary

Techniques for identifying images of a scene including illuminating the scene with a beam of 3 or more wavelengths, polarized according to a determined direction; simultaneously acquiring for each wavelength an image X//(λi) polarized according to said direction and an image X⊥(λi) polarized according to a direction perpendicular to said direction, X⊥(λi) being spatially distinct from X//(λi); calculating for each wavelength an intensity image which is a linear combination of X//(λi) and X⊥(λi), providing an intensity spectrum for each pixel; calculating for each wavelength a polarization contrast image on the basis of an intensity ratio calculated as a function of X//(λi) and of X⊥(λi), providing a polarization contrast spectrum for each pixel; and calculating a spectro-polarimetric contrast image of the scene, each pixel of this spectro-polarimetric contrast image calculated based on the intensity spectrum and the contrast spectrum of the pixel considered.