342 pages | 48 Color Illus. | 54 B/W Illus.
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.
"… a very impressive piece of work. … should become the bedside book for anyone interested in image fusion for remote sensing, from the graduate student, the PhD candidate or the researcher to the engineer or the enduser addressing any application based on remote sensing data and in need for an improved resolution."
—Jocelyn Chanussot, Grenoble Institute of Technology
"… the first comprehensive book to be published on this important topic. The authors are leaders in the field and have been on top of this important subject for the last two decades. The book is highly recommended."
—Prof. Jón Atli Benediktsson, Faculty of Electrical and Computer Engineering, University of Iceland, IEEE Fellow, SPIE Fellow, 2011-2012 President IEEE Geoscience and Remote Sensing Society, 2003-2008 Editor-in-Chief, IEEE Trans. on Geoscience and Remote Sensing
Introduction. Sensors and Image Data Products. Quality Assessment. Image Resembling and Registration. Pan-Sharpening of Multi-Spectral Image Data. Pan-Sharpening of hyper-Spectral Image Data. Aliasing and Misregistration Effects in Pan-Sharpening. Integration of Images from Heterogeneous Sensors. New Trends.