Remote Sensing Image Fusion (Hb 2015) Hardcover

Remote Sensing Image Fusion synthesizes over a decade of expertise in methods specifically developed for remote sensing imagery. The authors provide a detailed classification system and a rigorous mathematical overview of advanced techniques for pansharpening multispectral images, combining hyperspectral and panchromatic images, and fusing data from various sensors like optical and synthetic aperture radar (SAR) images, as well as integrating thermal and visible/near-infrared images. The book also explores emerging trends in signal/image processing, such as compressive sensing and sparse signal representations. This book offers a fresh perspective on a growing multidisciplinary research area, highlighting signal and image processing methods aimed at extracting information from remotely sensed images, either by humans or machines. The authors argue that simple processing techniques tailored to specific image characteristics can often outperform more complex algorithms that are not grounded in the physical behaviors of the instruments. The book traces the evolution of three generations of remote sensing image fusion methods. While established textbooks typically focus on the earliest methods, this book emphasizes second-generation techniques in use today and explores new trends that could shape future third-generation methods. The lessons learned from these second-generation methods are crucial for advancing the field and ensuring excellence amid the numerous methods continuously proposed in scientific research.