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 acquired images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. Remote sensing image processing is nowadays a mature research area. 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, model inversion, data fusion or feature selection and extraction. This book covers most of these fields in a comprehensive way.R.C. Gonzalez and R.E. Woods. Digital Image Processing (3rd Edition). Prentice Hall, Aug 2007. ISBN 013168728X. Cited on page(s) 49, 50 M. Gonzaleza Audicana, ].L. Saleta, R.G. Catalan, and R. Garcia. Fusion of multispectral andanbsp;...
|Title||:||Remote Sensing Image Processing|
|Author||:||Gustavo Camps, Gustavo Camps-Valls|
|Publisher||:||Morgan & Claypool Publishers - 2011-12-01|