Unifying Technique for Multisource Remote Sensing Images

Name: Unifying Technique for Multisource Remote Sensing Images
Brand: LAP Lambert Academic Publishing
SKU: 9783659979965
Price: 984 CZK
Availability: InStock

Autor: Firas A. Hadi, Rawnak A. Abdulwahhab

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

984 Kč

Data fusion is the process of putting together information obtained from many heterogeneous sensors,...

Informace o knize

Autor

Firas A. Hadi, Rawnak A. Abdulwahhab

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

108

EAN

9783659979965

Enbook ID

15483064

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

179

Rozměry

150 x 220 x 6

Kompletní popis

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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Unifying Technique for Multisource Remote Sensing Images

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