Title: Signal estimation of hyperspectral data using HYSIME algorithm
Abstract:Hyperspectral sensors helps in remote sensing and knowing about geographical information. Hyperspectral remote sensing is also known as imaging spectroscopy is a relatively new technology that is curr...Hyperspectral sensors helps in remote sensing and knowing about geographical information. Hyperspectral remote sensing is also known as imaging spectroscopy is a relatively new technology that is currently being investigated by researchers and scientists. Hyperspectral images will store the spectrum of each pixel with the help of electromagnetic spectrum. The purpose of Hyperspectral image is to find the Spectral sources such as remote areas, objects, materials. Endmembers which are the Spectral sources, if the different sources are mixed then identification of required source is difficult. So for identification of required source Spectral unmixing technique is used. A challenging problem in spectral unmixing is to determine the number of endmembers in a given scene and to estimate the Signal and Noise levels. End member extraction, signal and Noise estimation is done using Hysime Algorithm by choosing Intel Atom Processor Hardware Platform.Read More
Publication Year: 2016
Publication Date: 2016-05-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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