Books in the Signal and Image Processing of Earth Observations series

This book offers in-depth and sufficient, broad, step-by-step understanding of the influence of system parameters on image quality. Platforms including spacecraft, aircraft, and ground-based (e.g. rail) are covered to take into account the influence of platform motion that is profoundly important for high image quality formation. The book also c

Written by more than 50 world leaders in the field, this book covers major topics in signal and image processing for remote sensing. The second edition features new chapters on compressive sensing, the super-resolution method in the mixed pixel problem with hyperspectral images, sparse representation for target detection and classification in hy

Written by leading experts in the field this guide provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding model

A synthesis of more than ten years of experience, this book 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 im

This book offers in-depth and sufficient, broad, step-by-step understanding of the influence of system parameters on image quality. Platforms including spacecraft, aircraft, and ground-based (e.g. rail) are covered to take into account the influence of platform motion that is profoundly important for high image quality formation. The book also covers the wave-target interaction that plays a role in information content of the target carried by the SAR image.

A synthesis of more than ten years of experience, this book 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.