Téléchargez le livre : Image Fusion in Remote Sensing

Image Fusion in Remote Sensing

Conventional and Deep Learning Approaches

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Éditeur :

Springer


Collection :

Synthesis Lectures on Image, Video, and Multimedia Processing

Paru le : 2022-05-31



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Description
Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and deep learning approaches are covered. First, the conventional approaches to image fusion in remote sensing are discussed. These approaches include component substitution, multi-resolution, and model-based algorithms. Then, the recently developed deep learning approaches involving single-objective and multi-objective loss functions are discussed. Experimental results are provided comparing conventional and deep learning approaches in terms of both low-resolution and full-resolution objective metrics that are commonly used in remote sensing. The book is concluded by stating anticipated future trends in pansharpening or image fusion in remote sensing.
Pages
81 pages
Collection
Synthesis Lectures on Image, Video, and Multimedia Processing
Parution
2022-05-31
Marque
Springer
EAN papier
9783031011283
EAN PDF
9783031022562
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
45425 Ko
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Prix
32,66 €

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