Presentation on theme: "Programme for Research-Development-Innovation for"— Presentation transcript:
1Programme for Research-Development-Innovation for Space Technology and Advanced Research - STARCompressive THz Imaging and Hadamard Spectroscopy for Space Applications THz ImagingFlorin GaroiRomanian Space Week , May 2014, Bucharest, Romania
2Partners Coordinating organization Partner organization National Institute for Laser, Plasma and Radiation Physics (INFLPR)University Politehnica of Bucharest – Research Center for Spatial Information (CEO Space Tech)409 Atomistilor Street, PO Box MG-36, Magurele, Ilfov, Romania1-3 Iuliu Maniu Bd, Bucharest, RomaniaProject managerPartner team leaderFlorin GaroiDaniela ColtucINFLPRCEO Space TechTel/Fax:Tel:Web:Web:
3The project Short description of the project Project goal spectroscopy and imaging at THz wavelength range (0.1 – 30 THz);Hadamard spectroscopyCompressive sensing (CS) imagingProject goalExperimental model of Hadamard spectrometer and CS imaging system in THz domain, for Space Applications
4* with gray are already completed activities Work plan of the project* with gray are already completed activitiesPhaseActivitiesPartnerDeadlineIState of the art in THz imaging and Hadamard spectroscopyState of the art in compressive sensing (CS) and Hadamard spectrocospyCompressive sensing and Hadamard spectroscopy basicsFinancial and Quality ManagementINFLPRUPBDec 15, 2012IIConcept of THz image spectrometer and simulation of imaging and spectroscopyTHz image spectrometer as and-to-and systemModeling and simulation of imaging and spectroscopy functionsReporting and disseminationJune 30, 2013IIIExperimental model of THz image spectrometerDesign and implementation of the THz data acquisition and DMDCharacterization of the components in the experimental setupIntegration of the parts and testing of electrical components of the experimental setupStatistical analysis of the measured THz signals and elaboration of appropriate algorithms for CSDec 15, 2013IVFunctions development for THz image spectrometerDefinition of the CS and spectroscopy specificationsDesign and implementation of the CS and spectroscopyIntegration of CS and spectroscopy in the experimental modelDec 15, 2014VTHz image spectrometer validation and evaluationLaboratory simulator for ESA applications of interest in THz domainStudy regarding development of technical perspectivesNov 18, 2015
5Implementation status Characterization of the components in the experimental setupExperimental model v1.0:FIR 100 laser (Edinburgh Instruments); l = mm, mm, and 163 mmMirrorsDispersive component:reflective blaze diffraction gratingtransmission diffraction grating (wire or machine cut)prismDigital Micromirror Device (DMD)DetectorSoftware:LabViewCSLaserCO2 section: 80 lines between 9.1μm and 10.9μm50W on the strongest linesCO2 laser output is coupled into the FIR laser via two steering mirrors and a ZnSe focusing lensFIR section:118.83mm (150mW), 133.1mm (1mW), and 163mm (36mW)Installation and training
6Implementation status Optical componentsOff-axis parabolic mirrors:f = 250mm (Laser Beam Products, UK)Lenses:f = 50mm, 100mm, 200mm (Tydex, Russia)Reflective blaze diffraction grating:Brass (CNC EUROMOD-P), coated with 50nm layer of gold (Varian RF magnetron sputtering)Dimensions: 20mm × 20mm × 5mmGrating pitch: 120 mm not feasible300 mm in the makingCross-section of the blaze gratingGrating cross-sectionBlaze wavelength as a function of the incidence angle.
7Implementation status Wire transmission diffraction grating:Brass frame and nickel wireDimensions: 50mm × 50mm × 10mmGrating active area: 40mm × 40mmWire diameter: 200mmGrating pitch: 400mmPolyethylene prisms:Prism angle: 60, 50 and 40Wavelength as a function ofdiffraction angle (first diffraction order)Measured with Tera View systems, TPS Spectra 3000Deviation d versus angle of incidence a
8Implementation status Digital Micromirror Device, DAQ and Detector:Projection of masks and acquisition integrated in LabViewTested in visible range of the spectrumTesting with various random matrices generation for CSFind a sensing matrix through random methods that accurately reproduces a given image and scaling for a finer resolution with more samples or larger sensors coverage; for example Low Density Parity Check (LDPC) matricesProject startTRL 1 – Basic principles observed and reportedLowest level of technology readiness. Scientific research begins to be translated into applied research and developmentPresentTRL 2 – Technology concept and/or application formulatedOnce basic principles are observed, practical applications can be invented and R&D started. Applications are speculative and may be unprovenTRL 3 – Analytical and experimental critical function and/or characteristic proof-of-conceptActive research and development is initiated, including analytical/laboratory studies to validate predictions regarding the technologyIntended to be achievedTRL 4 – Component and/or breadboard validation in laboratory environmentBasic technological components are integrated to establish that they will work together
9Results Physical Fourier encoding of optical data Preliminary tests of the dispersive elements, in visible and THz rangeExperimental setupInitial objectsDecoded images
10ResultsOne Pixel Camera for THz Image Acquisition Design and Tests of Camera SoftwareEXPERIMENTAL RESULTSACQUISITION PRINCIPLE: Compressive Sensing (CS)SCOPE: finding the appropriate coupleSensing Matrix – Transform for CS AlgorithmMETHOD: couple evaluation by Rate-Distortion curveEXPERIMENTS:Test images (numerical):Cameraman and LenaTested Sensing matrices: Binary RandomBinary SparseLDPC (Low Density Parity Code)Tested Transforms: Discrete Cosine TransformWavelet TransformTV (Total Variation)Rate-Distortion curves for TVSOFTWARE: CS Toolbox atL1 Magic atFOUND SOLUTION: LDPC with TVRate-Distortion curves for LDPC
11Project contribution to STAR Programme Project’s contribution to the goal of the STAR Programme(how the project contributes to the increasing of the capacity for organizations involved to participate in ESA Programmes)The project addresses Basic Technology Research Programme (TRP), one of ESA’s activities regarding technology and research → may facilitate strong and long-term relations between Romanian entities and ESA.Context and contribution to ESA Programmes(please specify how the project activities can contributes to present and future ESA programmes)We hope that our research on THz imaging with CS and Hadamard spectroscopy contribute to the development of new instruments required for the current and long-term ESA science directorate programme.
12Dissemination Publications and Conferences Rate-Distortion Performance of Compressive Sensing in One Pixel Camera, Mihai Petrovici, Daniela Coltuc, Mihai Datcu, and Vasile Tiberius, Submitted to IEEE Signal processing Letters Physical Fourier encoding and compacting of optical data, Petre Catalin Logofatu, Florin Garoi, Victor Damian and Cristian Udrea, Submitted to Optical EngineeringTerahertz range complex refractive index determinations for liquids using ATR, Adrian Dobroiu and Petre Catalin Logofatu, Submitted to Optical EngineeringIntroduction to Compressive Sampling and applications in THz Imaging, Daniela Coltuc, Invited paper to ATOM-N 2014 Conference (Constanta, August 21-24, 2014)Dispersive elements for THz domain, V. Damian, Mihaela Bojan, G. D. Chioibasu, F. Garoi, P. C. Logofatu, L. Mihai, C. Udrea, I. Urzica, T. Vasile, and C. Viespe, will be presented at INDLAS Conference (Bran , May 19-23, 2014)Synthetic aperture and scarsity analysis methods for THz imaging, Mihai-Alexandru Petrovici, will be presented at the European Conference on Computer Vision (Zurich, September 6-12, 2014)L1 minimization applied to the simple case of a sparse signal consisting in a sum of sinusoids, Petre Catalin Logofatu, will be presented at ATOM-N Conference (Constanta, August 21-24, 2014)Technical Notes within the consortium(available upon request)For up-to-date info, please visit our webpage:
13Conclusions Conclusions All tasks and activities completed as scheduledMost important results:Installation and training for the THz laserSimulation of the experimental setup v1.0Characterization of some of the componentsDefinition of the CS matrices and algorithms for data processing