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Development of a software platform for the analysis of hyperspectral data

Pouros Spyridon

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Year 2019
Type of Item Diploma Work
Bibliographic Citation Spyridon Pouros, "Development of a software platform for the analysis of hyperspectral data", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2019
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Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. In hyperspectral imaging, the recorded spectra have fine wavelength resolution, cover a wide range of wavelengths and measures continuous spectral bands. The primary advantage to hyperspectral imaging is that, because an entire spectrum is acquired at each point, the operator needs no prior knowledge of the sample, and post-processing allows all available information from the dataset to be mined. Hyperspectral imaging can also take advantage of the spatial relationships among the different spectra in a neighborhood, allowing more elaborate spectral-spatial models for a more accurate segmentation and classification of the image.In this work, the goal is to create and develop a hyperspectral imaging processing suite which will be able to work with and provide to the user a spread set of tools so that hyperspectral images can be processed. It is about a framework highly equipped, a research tool that can be fully expandable. It is characterized by its compatibility, flexibility and execution speed. The suite provides an user interface which, compared to the other common suites on the market, is easier to work and has more distinguished and functional environment.

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