eBook: Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches (DRM PDF)
 
電子書格式: DRM PDF
作者: Arian Azarang, Nasser Kehtarnavaz 
系列: Synthesis Lectures on Image, Video, and Multimedia
分類: Engineering: general ,
Electrical engineering ,
Electronics engineering ,
Imaging systems & technology ,
Signal processing  
書城編號: 25085278


售價: $325.00

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製造商: Springer International Publishing
出版日期: 2022/05/31
ISBN: 9783031022562
 
>> 相關實體書

商品簡介
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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... [顯示此系列所有商品]

Nasser Kehtarnavaz 作者作品表

eBook: Digital Signal Processing System Design: LabVIEW-Based Hybrid Programming (DRM PDF)

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