Industrial Affiliates March 2 nd, Ranging-Imaging Spectrometer Brian A. Kinder Advisor: Dr. Eustace Dereniak Optical Detection Lab Optical Sciences Center The University of Arizona Tucson, Arizona 85721

Industrial Affiliates March 2 nd, OUTLINE  Overview of Detection Lab  Introduction to the concept of 4-D Imaging  Background-Hyperspectral and 3-D Imaging  Ranging-Imaging Spectrometer  Results and Conclusions

Industrial Affiliates March 2 nd, Information in a Scene  Spatial – Spectral – Polarization – Temporal

Industrial Affiliates March 2 nd, Past and Current Work  VIS-SWIR-MWIR Snapshot Spectrometers  VIS (point)-SWIR (imaging) Spectropolarimeters  Dual Band (SWIR-MWIR) Imaging Spectrometer  LWIR Systems  Algorithm work  Ranging-Imaging Spectrometer (RIS)

Industrial Affiliates March 2 nd, Dimensional Subset  3-D Spatial and Hyperspectral Data Hyperspectral means that  much smaller xx yy zz z y x

Industrial Affiliates March 2 nd, Computed Tomographic Imaging Spectrometer (CTIS)  No moving parts and off-the-shelf optics  Conventional Focal Plane

Industrial Affiliates March 2 nd, Spectral Images  Panchromatic image in 0 th order  Limited to one Octave  Limited Angle Tomography

Industrial Affiliates March 2 nd, Test Images Raw CTIS image Reconstructed Image Test Object

Industrial Affiliates March 2 nd, CTIS Images Spectral bandwidth: nm in 10 nm steps 80 × 80 spatial sampling Visible System

Industrial Affiliates March 2 nd, Scannerless Range Imaging LADAR  Developed by Sandia National Labs  Heterodyne Technique 15 m range wrap  Measure Time of Flight R = ½ c*t  Conventional Focal Plane

Industrial Affiliates March 2 nd, Capturing Range Data  Transmitter and MCP Gain Waveforms

Industrial Affiliates March 2 nd, Range Images Phase Image Sequence Reconstructed Range Image

Industrial Affiliates March 2 nd, Concept  Combine two systems → x, y, z, and !  Use the same focal plane array  Use established technology  Eliminate registration issues  Reduce the cost

Industrial Affiliates March 2 nd, Ranging-Imaging Spectrometer  LADAR operating at 857nm, removed narrowband filter  CTIS operating from nm

Industrial Affiliates March 2 nd, th order is 77 x 77 pixels panchromatic image Only portion where ranging is possible RIS Images Laser only Ambient only

Industrial Affiliates March 2 nd,  White Coffee cup  Illumination sources Laser pointer ( nm) Laser Illuminator (857nm) Spectral Results Single pixel Spectra

Industrial Affiliates March 2 nd, Spectral Results Ambient Light

Industrial Affiliates March 2 nd, Spectral Resolution nm nm with laser

Industrial Affiliates March 2 nd, Range Results

Industrial Affiliates March 2 nd, Range vs. Ambient Light  Remove narrow band filter → Spectra  Nomenclature Laser Phase Sequence Ambient Phase Sequence Laser – Ambient  Laser only

Industrial Affiliates March 2 nd, Error Correction Technique  Laser and Ambient data sequences  Shift Laser data to zero  Mean is linear → find laser only mean  Find desired variance using mean-variance curve  Multiply and add laser only mean back

Industrial Affiliates March 2 nd, Error Correction Results

Industrial Affiliates March 2 nd, Conclusions  Able to combine CTIS and SRI LADAR  Able to obtain 3-D spatial and Hyperspectral data on a single focal plane  Develop a range correction technique  Resolution 77 x 77 Spatial subtends 12.5  10nm spectral/tested 19.5nm 15cm range

Industrial Affiliates March 2 nd, Acknowledgements  Eustace Dereniak (Advisor), John Reagan, Colin Smithpeter.  DARPA  NSF  Thank you for your time