Share
Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches
Nasser Kehtarnavaz
(Author)
·
Arian Azarang
(Author)
·
Springer
· Paperback
Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches - Azarang, Arian ; Kehtarnavaz, Nasser
£ 32.13
£ 35.70
You save: £ 3.57
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, July 01 and
Tuesday, July 02.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
