Hyperspectral Image Fusion de Chaudhuri, Subhasis Format Relié

Hyperspectral Image Fusion - Chaudhuri, Subhasis

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Présentation Hyperspectral Image Fusion de Chaudhuri, Subhasis Format Relié
- Livre Informatique

Livre Informatique - Chaudhuri, Subhasis - 01/05/2013 - Relié - Langue : Anglais

Auteur(s) : Chaudhuri, Subhasis - Kotwal, Ketan

Editeur : Springer Us, New York, N.Y.

Langue : Anglais

Parution : 01/05/2013

Format : Moyen, de 350g à 1kg

Nombre de pages : 208

Expédition : 483

Dimensions : 24.1 x 16.0 x 1.5

ISBN : 9781461474692

Résumé :
Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images. This monograph brings out recent advances in the research in the area of visualization of hyperspectral data. It provides a set of pixel-based fusion techniques, each of which is based on a different framework and has its own advantages and disadvantages. The techniques are presented with complete details so that practitioners can easily implement them. It is also demonstrated how one can select only a few specific bands to speed up the process of fusion by exploiting spatial correlation within successive bands of the hyperspectral data. While the techniques for fusion of hyperspectral images are being developed, it is also important to establish a framework for objective assessment of such techniques. This monograph has a dedicated chapter describing various fusion performance measures that are applicable to hyperspectral image fusion. This monograph also presents a notion of consistency of a fusion technique which can be used to verify the suitability and applicability of a technique for fusion of a very large number of images. This book will be a highly useful resource to the students, researchers, academicians and practitioners in the specific area of hyperspectral image fusion, as well as generic image fusion.

Biographie:

Avik Hati is currently an Assistant Professor at National Institute of Technology Tiruchirappalli, Tamilnadu. He received his B.Tech. Degree in Electronics and Communication Engineering from Kalyani Government Engineering College, West Bengal in 2010 and M.Tech. Degree in Electronics and Electrical Engineering from the Indian Institute of Technology Guwahati in 2012. He received his Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Bombay in 2018. He was a Postdoctoral Researcher at the Pattern Analysis and Computer Vision Department of Istituto Italiano di Tecnologia, Genova, Italy. He was an Assistant Professor at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar from 2020 to 2022. He joined National Institute of Technology Tiruchirappalli in 2022. His research interests include image and video co-segmentation, subgraph matching, saliency detection, scene analysis, robust computer vision, adversarial machine learning.

Rajbabu Velmurugan is a Professor in the Department of Electrical Engineering, Indian Institute of Technology Bombay. He received his Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology, USA, in 2007. He was in L&T, India, from 1995 to 1996 and in the MathWorks, USA, from 1998 to 2001. He joined IIT Bombay in 2007. His research interests are broadly in signal processing, inverse problems with application in image and audio processing such as blind deconvolution and source separation, low-level image processing and video analysis, speech enhancement using multi-microphone arrays, and developing efficient hardware systems for signal processing applications.

Sayan Banerjee received his B.Tech. degree in Electrical Engineering from the West Bengal University of Technology, India, in 2012 and M.E. degree in Electrical Engineering from Jadavpur University, Kolkata, in 2015. Currently, he is completingdoctoral studies at the Indian Institute of Technology Bombay. His research areas include image processing, computer vision, and machine learning.

Prof. Subhasis Chaudhuri received his B.Tech. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur in 1985. He received his M.Sc. and Ph.D. degrees, both in Electrical Engineering, from the University of Calgary, Canada, and the University of California, San Diego, respectively. He joined the Department of Electrical Engineering at the Indian Institute of Technology Bombay, Mumbai, in 1990 as Assistant Professor and is currently serving as KN Bajaj Chair Professor and Director of the institute. He has also served as Head of the Department, Dean (International Relations), and Deputy Director. He has also served as Visiting Professor at the University of Erlangen-Nuremberg, Technical University of Munich, University of Paris XI, Hong Kong Baptist University,and National University of Singapore. He is Fellow of IEEE and the science and engineering academies in India. He is Recipient of the Dr. Vikram Sarabhai Research Award (2001), the Swarnajayanti Fellowship (2003), the S.S. Bhatnagar Prize in engineering sciences (2004), GD Birla Award (2010), and the ACCS Research Award (2021). He is Co-author of the books Depth from Defocus: A Real Aperture Imaging Approach, Motion-Free Super-Resolution, Blind Image Deconvolution: Methods and Convergence, and Kinesthetic Perception: A Machine Learning Approach, all published by Springer, New York (NY). He is an Associate Editor for the International Journal of Computer Vision. His primary areas of research include image processing and computational haptics.

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Sommaire:

Introduction.- Current State of the Art.- Edge-preserving Solution.- Band Selection through Redundancy Elimination.- Bayesian Estimation.- Variational Solution.- Optimization-based Fusion.- Band Selection: Revisited.- Performance Assessment of Fusion Techniques.- Results and Discussions.- Conclusions and Directions for Future Research.

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Hyperspectral Image Fusion - Chaudhuri, Subhasis

Avis sur Hyperspectral Image Fusion de Chaudhuri, Subhasis Format Relié - Livre Informatique

Présentation Hyperspectral Image Fusion de Chaudhuri, Subhasis Format Relié - Livre Informatique

Présentation Hyperspectral Image Fusion de Chaudhuri, Subhasis Format Relié
- Livre Informatique