Dimensionality Reduction for the Visualization of Fuzzy Multi-spectral Data
Dimensionality is one of the main obstacles for the visualization and classification of remotely sensed data. Here we address the problem when multispectral data is used in association with fuzzy verification data. We utilize the framework of exploratory projection pursuit, a statistical method that seeks interesting projections from a high dimensional space into a lower one, according to a measure of interestingness called projection index and a numerical optimization algorithm.
Bibliographic Reference: Paper presented: RSS 99 Earth Observation: from data to information, Cardiff (GB), 8th-10th September (1999)
Availability: Available free of charge from Public Relations and Publications Unit, Ispra (IT)
Record Number: 199911682 / Last updated on: 1999-12-24
Original language: en
Available languages: en