Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches

Author:   Arian Azarang ,  Nasser Kehtarnavaz
Publisher:   Morgan & Claypool Publishers
ISBN:  

9781636390765


Pages:   93
Publication Date:   28 February 2021
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches


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Author:   Arian Azarang ,  Nasser Kehtarnavaz
Publisher:   Morgan & Claypool Publishers
Imprint:   Morgan & Claypool Publishers
Weight:   0.333kg
ISBN:  

9781636390765


ISBN 10:   1636390765
Pages:   93
Publication Date:   28 February 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface Introduction Introduction to Remote Sensing Conventional Image Fusion Approaches in Remote Sensing Deep Learning-Based Image Fusion Approaches in Remote Sensing Unsupervised Generative Model for Pansharpening Experimental Studies Anticipated Future Trend Authors' Biographies Index

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Author Information

Arian Azarang is a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Texas at Dallas. His research interests include signal and image processing, machine/deep learning, remote sensing, and computer vision. He has authored or co-authored 15 publications in these areas. Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor with the Department of Electrical and Computer Engineering and the Director of the Embedded Machine Learning Laboratory at the University of Texas at Dallas. His research interests include signal and image processing, machine/deep learning, and real-time implementation on embedded processors. He has authored or co-authored 10 books and more than 400 journal papers, conference papers, patents, manuals, and editorials in these areas. He is a Fellow of IEEE, a Fellow of SPIE, and a Licensed Professional Engineer. He is currently serving as Editor-in-Chief of Journal of Real- Time Image Processing.

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