Książka Image Fusion in Remote Sensing Arian Azarang

Image Fusion in Remote Sensing

Conventional and Deep Learning Approaches

Język: Angielski
Oprawa: Miękka
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
119.66
Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2021
strony
81
EAN
9783031011283
Enbook ID
39279700
Waga
200
Wymiary
191 x 5 x 235

Pełny opis

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.

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