Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing for Remote Sensing provides a balance between the role of signal processing and image processing in remote sensing.Featuring contributions from worldwide experts, this book emphasizes mathematical approaches. Divided into two parts, Part I examines signal processing for remote sensing and Part II explores image processing. Not limited to the problems with data from satellite sensors, the book considers other sensors which acquire data remotely, including signals and images from infrasound, seismic, microwave, and satellite sensors. It covers a broader scope of issues in remote sensing information processing than other books in this area. With rapid technological advances, the mathematical techniques provided will far outlast the sensor, software and hardware technologies. Focusing on methodologies of signal processing and image processing in remote sensing, this book discusses unique techniques for dealing with remote sensing problems.
This awesome book has some enchanting chapter titles which far supersede the amazing graphics on the cover. The chapters are arranged in two parts, the first relating to Signal Processing and the second to Image Processing which cover topics such as "Relating Time-Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics" and "Quality assessment of Remote Sensing Multi Band Optical Images" respectively. While highly technical many of the concepts are merely an extension of what we are covering in class (note the extensions are much more daunting than any of those faced by contestants on "The Block, Fans vs Faves")