رکورد قبلیرکورد بعدی

" Progressively expanded neural network for automatic material identification in hyperspectral imagery "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 804376
Doc. No : TL49206
Call number : ‭1868787968;‮ ‬10307245‬
Main Entry : Almusawi, Hashemiah Mohammed Sayed Shubber
Title & Author : Progressively expanded neural network for automatic material identification in hyperspectral imagery\ Sidike PahedingAsari, Vijayan
College : University of Dayton
Date : 2016
Degree : Dr.Ph.
field of study : Electrical and Computer Engineering
student score : 2016
Page No : 123
Note : Committee members: Balster, Eric; Islam, Muhammad; Ordonez, Raul
Note : Place of publication: United States, Ann Arbor; ISBN=978-1-369-51824-5
Abstract : 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.
Subject : Computer Engineering; Electrical engineering; Remote sensing
Descriptor : Applied sciences;Earth sciences;Classification;Hyperspectral imagery;Joint transform correlation;Neural network;Object detection;Progressively expanded neural network
Added Entry : Asari, Vijayan
Added Entry : Electrical and Computer EngineeringUniversity of Dayton
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