Now showing items 1-3 of 3

    • An Adaptive Noise Filtering Algorithm for AVIRIS Data with Implications for Classification Accuracy 

      Phillips, Rhonda D.; Blinn, Christine E.; Watson, Layne T.; Wynne, Randolph H. (Department of Computer Science, Virginia Polytechnic Institute & State University, 2008), TR-08-15
      This paper describes a new algorithm used to adaptively filter a remote sensing dataset based on signal-to-noise ratios (SNRs) once the maximum noise fraction (MNF) has been applied. This algorithm uses Hermite splines to ...
    • Continuous Iterative Guided Spectral Class Rejection Classification Algorithm: Part 2 

      Phillips, Rhonda D.; Watson, Layne T.; Wynne, Randolph H.; Ramakrishnan, Naren (Department of Computer Science, Virginia Polytechnic Institute & State University, 2009), TR-09-10
      This paper describes in detail the continuous iterative guided spectral class rejection (CIGSCR) classification method based on the iterative guided spectral class rejection (IGSCR) classification method for remotely sensed ...
    • Feature Reduction using a Singular Value Decomposition for the Iterative Guided Spectral Class Rejection Hybrid Classifier 

      Phillips, Rhonda D.; Watson, Layne T.; Wynne, Randolph H.; Blinn, Christine E. (Department of Computer Science, Virginia Polytechnic Institute & State University, 2007), TR-07-17
      Feature reduction in a remote sensing dataset is often desirable to decrease the processing time required to perform a classification and improve overall classification accuracy. This work introduces a feature reduction ...