Remote Sensing Image Fusion

Luciano Alparone, Bruno Aiazzi, Stefano Baronti, Andrea Garzelli

© 2015 - CRC Press
Published March 6, 2015
Reference - 342 Pages - 48 Color & 54 B/W Illustrations
ISBN 9781466587496 - CAT# K20347
Series: Signal and Image Processing of Earth Observations

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  • Synthesizes more than ten years of the author’s research on true and simulated data from different approaches to remote sensing image fusion
  • Details a comprehensive, advanced investigation on image fusion algorithms and solutions specifically designed for present and future remote sensing data
  • Explains the progress in instrument technologies and data fusion methods with deep insight into mathematical issues
  • Presents state-of-the-art and original solutions for evaluating the quality of remote sensing image fusion
  • Highlights objective quality assessment and new directions in image fusion


A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations.

The book brings a new perspective to a multidisciplinary research field that is becoming increasingly articulate and comprehensive. It fosters signal/image processing methodologies toward the goal of information extraction, either by humans or by machines, from remotely sensed images. The authors explain how relatively simple processing methods tailored to the specific features of the images may be winning in terms of reliable performance over more complex algorithms based on mathematical theories and models unconstrained from the physical behaviors of the instruments.

Ultimately, the book covers the births and developments of three generations of RS image fusion. Established textbooks are mainly concerned with the earliest generation of methods. This book focuses on second generation methods you can use now and new trends that may become third generation methods. Only the lessons learned with second generation methods will be capable of fostering the excellence among the myriad of methods that are proposed almost every day by the scientific literature.