Now showing items 1-3 of 3
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 ...
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 ...
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 ...