FULLY UNSUPERVISED HYPERSPECTRAL IMAGE ANALYSIS
Ahmed Mohamed Ahmed Saied El Sheikh A Thesis Submitted to the Faculty of Engineering at Cairo University in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in Engineering Physics;
Abstract
(Key Words: Hyperspectral; Virtual dimension; Hyperspectral signal identification by min-imum error; Vertex components analysis; Automatic target generation process; Independent components analysis; Principal components analysis; Self-organizing map; Orthogonal sub-space projection; Fully constrained least squares)
Hyperspectral imaging (HSI) -also called Imaging Spectroscopy- sensors observe hundreds or thousands of contiguous spectral bands as well as spatial locality. A hyperspectral image cube (two spatial dimensions and the third is the wavelength) contains a large amount of informa-tion about the imaged scenario. Thus the automated analysis of such image cubes is an impor-tant asset. This thesis suggested a pre-clustering step, and bases search techniques which have shown improvements of the known algorithms.
Hyperspectral imaging (HSI) -also called Imaging Spectroscopy- sensors observe hundreds or thousands of contiguous spectral bands as well as spatial locality. A hyperspectral image cube (two spatial dimensions and the third is the wavelength) contains a large amount of informa-tion about the imaged scenario. Thus the automated analysis of such image cubes is an impor-tant asset. This thesis suggested a pre-clustering step, and bases search techniques which have shown improvements of the known algorithms.
Other data
| Title | FULLY UNSUPERVISED HYPERSPECTRAL IMAGE ANALYSIS | Other Titles | تحليل مكتمل بغير إشراف لصور الطيف الفائق | Authors | Ahmed Mohamed Ahmed Saied El Sheikh A Thesis Submitted to the Faculty of Engineering at Cairo University in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in Engineering Physics | Issue Date | 2014 |
Recommend this item
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.