The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. This book is edited based on these research results, and many research scholars give a great help to this book

Image fusion is a new study field which combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence.
This 7-chapter book covers a number of unique concepts that have been graphically represented throughout to enhance readability, such as the wavelet-based image fusion and the 3D fusion.
The remainder of the book focuses on the area application-orientated image fusions, which cover the areas of medical applications, remote sensing and GIS, material analysis, face detection, and plant water stress analysis.

Contents
Preface
1 New Advances in Image Fusion Techniques in Remote Sensing Applications
2 A Multi-Features Fusion of Multi-Temporal Hyperspectral Images Using a Cooperative GDD/SVM Method
3 Multi-Frequency Image Fusion Based on MIMO UWB OFDM Synthetic Aperture Radar
4 High-Resolution and Hyperspectral Data Fusion for Classification
5 The Objective Evaluation Index (OEI) for Evaluation of Night Vision Colorization Techniques
6 ATrous Wavelet and Image Fusion
7 Image Fusion Based on Shearlets

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