Morton John Canty con Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth EditionCríticas ""The book presents a comprehensive exposition of the pixel based image analysis tools needed in a variety of remote sensing applications. It is the fourth edition of a book that first appeared in 2007. This rather rapid transition from one edition to the next is propelled by a parallel development in image analysis theory, in remote sensing platforms and advances in open source tools...The author has managed to encompass the relevant parts of this development in the present edition."" ~Knut Conradsen, Technical University of Denmark Reseña del editor Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks.
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