Saurabh Prasad (Senior IEEE Member) is an Associate Professor with the Department of Electrical and Computer Engineering, University of Houston, USA, where he directs the Machine Learning and Signal Processing Laboratory. His lab focuses on advancing state-of-the-art in machine learning and signal processing with applications to remote sensing and biomedicine. His work has been recognized by two student research awards during his Ph.D. study, a best student paper award at the 2008 IGARSS conference, top-10% papers at IEEE-ICIP conference, a NASA New Investigator (Early Career) award in 2014, and the junior faculty research excellence award at the University of Houston in 2017. He was the lead book editor on two Springer books on signal processing and machine learning for hyperspectral image analysis.
Télécharger le livre :  Advances in Machine Learning and Image Analysis for GeoAI

Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised...
Editeur : Elsevier
Parution : 2024-04-26

Format(s) : epub sans DRM
150,86

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Télécharger le livre :  Hyperspectral Image Analysis

This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep...
Editeur : Springer
Parution : 2020-04-27
Collection : Advances in Computer Vision and Pattern Recognition
Format(s) : PDF, ePub
147,69

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Télécharger le livre :  Optical Remote Sensing

Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their...
Editeur : Springer
Parution : 2011-03-23
Collection : Augmented Vision and Reality
Format(s) : ePub
147,69

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