Remote Sensing Image Processing (Synthesis Lectures on Image, Video, and Multimedia Processing)

Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / Classification / Spectral Mixture Analysis / Estimation of Physical Parameters

Gustavo Camps-Valls received a Ph.D. degree in Physics from the Universitat de Valencia, Spain in 2002. He is currently an Associate Professor in the Department of Electronics Engineering and leading researcher at the Image Processing Laboratory (IPL) in the same university. Recently included in the ISI lists as a highly cited researcher, he co-edited the books Kernel methods in bioengineering, signal and image processing (IGI, 2007) and Kernel methods for remote sensing data analysis (Wiley & sons, 2009). Dr. Camps-Valls serves on the Program Committees of International Society for Optical Engineers (SPIE) Europe, International Geoscience and Remote Sensing Symposium (IGARSS), Machine Learning for Signal Processing (MLSP), and International Conference on Image Processing (ICIP). Since 2007 he is member of the Data Fusion technical committee of the IEEE Geoscience and Remote Sensing Society, and since 2009 he is member of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society. He is involved in the EUMETSAT MTG-IRS Science Team. He is Associate Editor of the ISRN Signal Processing Journal and IEEE Geoscience and Remote Sensing Letters.