Mason Archival Repository Service

Trace Gas Detection in Hyperspectral Imagery Using the Wavelet Packet Subspace

Show simple item record

dc.contributor.author Salvador, Mark A. Z.
dc.creator Salvador, Mark A. Z.
dc.date 2008-04-16
dc.date.accessioned 2008-06-06T18:52:43Z
dc.date.available NO_RESTRICTION en
dc.date.available 2008-06-06T18:52:43Z
dc.date.issued 2008-06-06T18:52:43Z
dc.identifier.uri https://hdl.handle.net/1920/3067
dc.description.abstract This dissertation describes research into a new remote sensing method to detect trace gases in hyperspectral and ultra-spectral data. This new method is based on the wavelet packet transform. It attempts to improve both the computational tractability and the detection of trace gases in airborne and spaceborne spectral imagery. Atmospheric trace gas research supports various Earth science disciplines to include climatology, vulcanology, pollution monitoring, natural disasters, and intelligence and military applications. Hyperspectral and ultra-spectral data significantly increases the data glut of existing Earth science data sets. Spaceborne spectral data in particular significantly increases spectral resolution while performing daily global collections of the earth. Application of the wavelet packet transform to the spectral space of hyperspectral and ultra-spectral imagery data potentially improves remote sensing detection algorithms. It also facilities the parallelization of these methods for high performance computing. This research seeks two science goals, 1) developing a new spectral imagery detection algorithm, and 2) facilitating the parallelization of trace gas detection in spectral imagery data.
dc.language.iso en_US en
dc.subject Remote Sensing en_US
dc.subject Hyperspectral en_US
dc.subject Wavelet en_US
dc.subject Wavelet Packet en_US
dc.title Trace Gas Detection in Hyperspectral Imagery Using the Wavelet Packet Subspace en
dc.type Dissertation en
thesis.degree.name Doctor of Philosophy in Computational Sciences and Informatics en
thesis.degree.level Doctoral en
thesis.degree.discipline Computational Sciences and Informatics en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics