Image Fusion in Remote Sensing: Conventional and Deep Learning Approaches

Description

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. Preface Introduction Scope Organization References Introduction to Remote Sensing Basic Concepts Spatial Resolution Spectral Resolution Radiometric Resolution Temporal Resolution Pre-Processing Steps for Image Fusion Image Registration Histogram Matching Fusion Protocols Reduced-Resolution Protocol (Wald's Protocol) Full-Resolution Protocol (Zhou's Protocol) Quantity Assessments of Fusion Outcomes Reduced-Resolution Metrics Full-Resolution Metrics References Conventional Image Fusion Approaches in Remote Sensing Component Substitution Algorithms Multi-Resolution Analysis Algorithms Model-Based Algorithms References Deep Learning-Based Image Fusion Approaches in Remote Sensing Typical Deep Learning Models Single-Objective Loss Function Multi-Objective Loss Function References Unsupervised Generative Model for Pansharpening Methodology Learning Process and Loss Functions References Experimental Studies Dataset Used Objective Assessment of Fusion Results Visual Assessment of Fusion Results References Anticipated Future Trend Authors' Biographies Index Blank Page