Now showing items 1-3 of 3
Continuous Iterative Guided Spectral Class Rejection Classification Algorithm: Part 2
(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
(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 ...
An Adaptive Noise Filtering Algorithm for AVIRIS Data with Implications for Classiﬁcation Accuracy
(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 ...