Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery

Pound, Andrew E.

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Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery

dc:creator Pound, Andrew E.

thesis:degree_name Master of Science (MS)

Degree

thesis:*

Name thesis:degree_name: Master of Science (MS)
Level thesis:degree_level: Thesis
Grantor dc:publisher: Hosted by Utah State University Libraries

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Pound, Andrew E.
Contributors dc:contributor: Jacob Gunther
Todd Moon
Adele Cutler

Subjects

dc:subject × 4

Identifiers

dc:identifier.*

Repository record dc:identifier: https://digitalcommons.usu.edu/etd/4020
OAI identifier oai:identifier: oai:digitalcommons.usu.edu:etd-5023

Chain of custody

source

Harvested from: Utah State University
Base URL: digitalcommons.usu.edu/do/oai/
Last updated: 2026-07-27
Source record: OAI-PMH GetRecord

related terms

citation

Pound, Andrew E.. Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery. Thesis thesis, Hosted by Utah State University Libraries, https://digitalcommons.usu.edu/etd/4020

Exploiting Sparsity and Dictionary Learning to Efficiently Classify Materials in Hyperspectral Imagery

Degree

Author and committee

Subjects

Identifiers

Chain of custody

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