NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-369-51824-5
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Dr.Ph.
Discipline of degree
Electrical and Computer Engineering
Body granting the degree
University of Dayton
Text preceding or following the note
2016
SUMMARY OR ABSTRACT
Text of Note
The science of hyperspectral remote sensing focuses on the exploitation of the spectral signatures of various materials to enhance capabilities including object detection, recognition, and material characterization. Hyperspectral imagery (HSI) has been extensively used for object detection and identification applications since it provides plenty of spectral information to uniquely identify materials by their reflectance spectra.