This book represent work done on visualization of remote sensing hyperspectral images on commonly available display devices by employing properties of Human Visual System. Dimensionality Reductions methods are developed for display for hyperspectral images while taking care of objects present in isolated spectral bands and the proposed algorithms are compared with already existing techniques for comparison. The proposed algorithms are able to find salient information and display it on screen which can be further analyzed for geological mapping and defense purposes.
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Haris Ahmad Khan is Electrical Engineer, he completed Masters in 2014 with specialization in Digital Image Processing. His research interests include Digital Image Processing, Machine Learning & Computer Vision. He has been involved in various research projects related to Image Processing and the current publication is from his research work in MS.
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Saliency based Visualization of Remote Sensing Hyperspectral Images | Haris Ahmad Khan | Taschenbuch | 88 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659743054 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 104486666
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