Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Kurv

Image Fusion in Remote Sensing

- Conventional and Deep Learning Approaches
Af: Arian Azarang, Nasser Kehtarnavaz Engelsk Paperback

Image Fusion in Remote Sensing

- Conventional and Deep Learning Approaches
Af: Arian Azarang, Nasser Kehtarnavaz Engelsk Paperback
Tjek vores konkurrenters priser
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.
Tjek vores konkurrenters priser
Normalpris
kr 288
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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.
Produktdetaljer
Sprog: Engelsk
Sider: 81
ISBN-13: 9783031011283
Indbinding: Paperback
Udgave:
ISBN-10: 3031011287
Udg. Dato: 18 feb 2021
Længde: 0mm
Bredde: 191mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 18 feb 2021
Forfatter(e) Arian Azarang, Nasser Kehtarnavaz


Kategori Ingeniørvidenskab: generelt


ISBN-13 9783031011283


Sprog Engelsk


Indbinding Paperback


Sider 81


Udgave


Længde 0mm


Bredde 191mm


Højde 235mm


Udg. Dato 18 feb 2021


Oplagsdato 18 feb 2021


Forlag Springer International Publishing AG

Kategori sammenhænge