Unifying Technique for Multisource Remote Sensing Images

Language: English

Published by LAP LAMBERT Academic Publishing, 2016

3659979961 / 9783659979965

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nach der Bestellung gedruckt Neuware - Printed after ordering - Data fusion is the process of putting together information obtained from many heterogeneous sensors, on many platforms, into a single composite picture. Data fusion researches focuses on the development of models appropriate to unify images have different scale with complex information. In this book, many fusion techniques have been used to improve low resolution remotely sensed images, and renewing the information by considering that the high resolution images are newer than the restored image. The unifying methods used are: 1.Fusion techniques based on wavelet transformations; The Haar and the Tap 3/5 wavelet transformations. 2.Lab, HLS, and YUV color transformation algorithms were used for the unification purposes, and finally 3.The Principle Component Analysis (PCA) transformation technique is used to perform the fusion. The produced image quality have been tested, subjectively by showing the obtained results, and quantitatively by measuring the Normalized-Mean-Square-Error (NMSE), the Signal-to-Noise-Ratio (SNR), and the Peak-Signal-to-Noise-Ratio (PSNR) of the output images compared with the large-scale panchromatic SPOT scene.

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Title
Unifying Technique for Multisource Remote Sensing Images
Author
Firas A. Hadi
Publisher
LAP LAMBERT Academic Publishing
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659979961
ISBN 13
9783659979965
Item weight
179 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

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