Accession Number : ADA557664


Title :   Spectral Detection of Human Skin in VIS-SWIR Hyperspectral Imagery without Radiometric Calibration


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Beisley, Andrew P


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a557664.pdf


Report Date : Mar 2012


Pagination or Media Count : 113


Abstract : Many spectral detection algorithms require precise ground truth measurements that are hand-selected in the image to apply radiometric calibration, converting image pixels into estimated re ectance vectors. That process is impractical for mobile, real-time hyperspectral target detection systems, which cannot empirically derive a pixel-to-re ectance relationship from objects in the image. Implementing automatic target recognition on high-speed snapshot hyperspectral cameras requires the ability to spectrally detect targets without performing radiometric calibration. This thesis demonstrates human skin detection on hyperspectral data collected at a high frame rate without using calibration panels, even as the illumination in the scene changes. Compared to an established skin detection method that requires calibration panels, the illumination-invariant methods in this thesis achieve nearly as good detection performance in sunny scenes and superior detection performance in cloudy scenes.


Descriptors :   *ALGORITHMS , *HYPERSPECTRAL IMAGERY , *SKIN(ANATOMY) , DETECTION , HUMANS , RADIOMETRY , SURFACE TRUTH , TARGET RECOGNITION , THESES


Subject Categories : Numerical Mathematics
      Optical Detection and Detectors


Distribution Statement : APPROVED FOR PUBLIC RELEASE