A Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parameters

Simple item page
dc.contributor.authorKoehn, Tabithaen
dc.contributor.committeechairBlack, Jonathan T.en
dc.contributor.committeememberClauer, C. Roberten
dc.contributor.committeememberBailey, Scott M.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2017-09-13T08:00:30Zen
dc.date.available2017-09-13T08:00:30Zen
dc.date.issued2017-09-12en
dc.description.abstractA Hyperspectral imager aboard a cubesat would be able to provide images which could be used to identify ships and determine the ship's length and breadth and heading. Depending on the size of the ship, the speed the ship is traveling can be determined as well; however the speed and size determination is limited by the spatial resolution of 100 meters. The spectral signature of the boat is dramatically different from the spectral signature of the open Ocean especially within the range of 400 to 1000 nanometers, and this threshold is the basis for extracting ship data. Hyperspectral Imagers are ideal for minimization with few optical errors introduced, and designs range in durability making them useful on board small satellites especially in the visible and near infrared region. Placing an imager on a satellite allows for consistent observation over a region to identify patterns in ship movement over time.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:12480en
dc.identifier.urihttp://hdl.handle.net/10919/78880en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectHyperspectral Imageryen
dc.subjectShip Detectionen
dc.subjectInstrumentationen
dc.titleA Hyperspectral Imager for a Cubesat to Identify Ocean Ship Parametersen
dc.typeThesisen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Koehn_T_T_2017.pdf
Size:
1.37 MB
Format:
Adobe Portable Document Format
Download

Collections

Masters Theses