Accession Number : ADA464150


Title :   Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH


Personal Author(s) : Bellucci, Joseph P


Full Text : http://www.dtic.mil/dtic/tr/fulltext/u2/a464150.pdf


Report Date : Mar 2007


Pagination or Media Count : 113


Abstract : The goal of any remote sensing system is to gather data about the geography it is imaging. In order to gain knowledge of the earth's landscape, post-processing algorithms are developed to extract information from the collected data. The algorithms can be intended to classify the various ground covers in a scene, identify specific targets of interest, or detect anomalies in an image. After the design of an algorithm comes the difficult task of testing and evaluating its performance. Traditionally, algorithms are tested using sets of extensively ground truthed test images. However, the lack of well characterized test data sets and the significant cost and time issues associated with assembling the data sets contribute to the limitations to this approach. This thesis uses a synthetic image generation model in cooperation with a factorial designed experiment to create a family of images with which to rigorously test the performance of hyperspectral algorithms. The factorial designed experimental approach allowed the joint effects of the sensor's view angle, time of day, atmospheric visibility, and the size of the targets to be studied with respect to algorithm performance. A head-to-head performance comparison of the two tested spectral processing algorithms was also made.


Descriptors :   *ALGORITHMS , *IMAGES , *HYPERSPECTRAL IMAGERY , ANOMALIES , EXPERIMENTAL DATA , REMOTE DETECTORS , FACTOR ANALYSIS , FACTORIAL DESIGN , TEST SETS , REMOTE SYSTEMS , MODELS , TERRAIN , SPECTRA


Subject Categories : Numerical Mathematics
      Statistics and Probability
      Atomic and Molecular Physics and Spectroscopy


Distribution Statement : APPROVED FOR PUBLIC RELEASE