"Deep Learning for Hyperspectral Image Analysis and Classification"

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Book	Author(s)	Year	Publisher
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Deep Learning for Medical Image Analysis	S. Kevin Zhou; Hayit Greenspan and Dinggang Shen	2017	Academic Press
Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing	Saurabh Prasad; Jocelyn Chanussot	1st ed. 2020	Springer International Publishing
Advances in Deep Learning for Medical Image Analysis	Archana Mire; Vinayak Elangovan; Shailaja Patil	2022	Routledge
Techniques and Applications of Hyperspectral Image Analysis	Paul Geladi	2007	John Wiley & Sons
Deep Learning in Medical Image Analysis: Challenges and Applications	Gobert Lee; Hiroshi Fujita	1st ed. 2020	Springer International Publishing
Deep learning for image processing applications	Estrela, Vania Vieira; Hemanth, D. Jude (eds.)	2017	IOS Press
Hyperspectral Image Processing	Liguo Wang; Chunhui Zhao	1st ed. 2016	Springer Berlin Heidelberg
Hyperspectral Image Fusion	Subhasis Chaudhuri; Ketan Kotwal	2013	Springer New York
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Hyperspectral Imaging: Techniques for Spectral Detection and Classification	Chein-I Chang	2003	Springer US
Satellite Image Analysis: Clustering and Classification	Surekha Borra; Rohit Thanki; Nilanjan Dey	1st ed. 2019	Springer Nature Singapore
Hyperspectral Indices and Image Classifications for Agriculture and Vegetation: Hyperspectral Remote Sensing of Vegetation	Prasad S. Thenkabail; John G. Lyon; Alfredo Huete	2018	Routledge
Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition	Frank Höppner, Frank Klawonn, Rudolf Kruse, Thomas Runkler	1999	John Wiley & Sons Ltd
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification	Anil Kumar; Priyadarshi Upadhyay; A. Senthil Kumar	2020	Routledge
Deep Learning-Based Approaches for Sentiment Analysis	Basant Agarwal; Richi Nayak; Namita Mittal; Srikanta Patnaik	1st ed. 2020	Springer Nature Singapore
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis	Nilanjan Dey	2019	Academic Press
Hyperspectral Imaging Analysis and Applications for Food Quality	N.C. Basantia; Leo M.L. Nollet; Mohammed Kamruzzaman	2018	Routledge
Hyperspectral Imaging for Food Quality Analysis and Control	Professor Da-Wen Sun	2010	Academic Press
Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data	Pramod K. Varshney; Manoj K. Arora	2004	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Hyperspectral Image Classification Using Deep Learning Technique	Mayar A. Shafaey; Mohammed A.-M. Salem; Maryam N. Al-Berry; Hala M. Ebied; Elsayed A. El-Dahshan; Mohammed F. Tolba	Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)	Aboul-Ella Hassanien; Ahmad Taher Azar; Tarek Gaber; Diego Oliva; Fahmy M. Tolba	1st ed. 2020	Springer International Publishing
Deep learning for image classification		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
Dimensionally Reduced Features for Hyperspectral Image Classification Using Deep Learning	K. S. Charmisha; V. Sowmya; K. P. Soman	ICCCE 2018: Proceedings of the International Conference on Communications and Cyber Physical Engineering 2018	Amit Kumar; Stefan Mozar	1st ed. 2019	Springer Nature Singapore
Reduced 3-D Deep Learning Framework for Hyperspectral Image Classification	Noureldin Laban; Bassam Abdellatif; Hala M. Ebeid; Howida A. Shedeed; Mohamed F. Tolba	The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)	Aboul Ella Hassanien; Ahmad Taher Azar; Tarek Gaber; Roheet Bhatnagar; Mohamed F. Tolba	1st ed. 2020	Springer International Publishing
Multiple Kernel Learning for Hyperspectral Image Classification	Tianzhu Liu; Yanfeng Gu	Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing	Saurabh Prasad; Jocelyn Chanussot	1st ed. 2020	Springer International Publishing
Hyperspectral Image Classification Using Semi-supervised Deep Learning Strategies	Sourish Gunesh Dhekane; Shivam Tiwari; Manan Sharma	Proceedings of the Indian Geotechnical Conference 2019: IGC-2019 Volume II	Satyajit Patel; C. H. Solanki; Krishna R. Reddy; Sanjay Kumar Shukla	1st ed. 2021	Springer Nature Singapore
Deep Learning for Hyperspectral Image Analysis, Part I: Theory and Algorithms	Sebastian Berisha; Farideh Foroozandeh Shahraki; David Mayerich; Saurabh Prasad	Hyperspectral Image Analysis: Advances in Machine Learning and Signal Processing	Saurabh Prasad; Jocelyn Chanussot	1st ed. 2020	Springer International Publishing
Hyperspectral Image Classification Using Transfer Learning	Usha Patel; Smit Patel; Preeti Kathiria	Communication and Intelligent Systems: Proceedings of ICCIS 2021	Harish Sharma; Vivek Shrivastava; Kusum Kumari Bharti; Lipo Wang	1st ed. 2022	Springer Nature Singapore
Deep Learning for SAR Image Classification	Hasni Anas; Hanifi Majdoulayne; Anibou Chaimae; Saidi Mohamed Nabil	Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1	Yaxin Bi; Rahul Bhatia; Supriya Kapoor	1st ed. 2020	Springer International Publishing
Deep Learning Model for Image Classification	Sudarshana Tamuly; C. Jyotsna; J. Amudha	Computational Vision and Bio-Inspired Computing: ICCVBIC 2019	S. Smys; João Manuel R. S. Tavares; Valentina Emilia Balas; Abdullah M. Iliyasu	1st ed. 2020	Springer International Publishing
Deep Learning for Satellite Image Classification	Mayar A. Shafaey; Mohammed A.-M. Salem; H. M. Ebied; M. N. Al-Berry; M. F. Tolba	Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018	Aboul Ella Hassanien; Mohamed F. Tolba; Khaled Shaalan; Ahmad Taher Azar	1st ed. 2019	Springer International Publishing
A Comparison of Machine Learning and Deep Learning in Hyperspectral Image Classification	Fady Mohamed Sadek; Mahmud Iwan Solihin; Fahri Heltha; Lim Wei Hong; M. Rizon	Enabling Industry 4. 0 through Advances in Mechatronics: Selected Articles from iM3F 2021, Malaysia	Ismail Mohd. Khairuddin; Muhammad Amirul Abdullah; Ahmad Fakhri Ab. Nasir; Jessnor Arif Mat Jizat; Mohd. Azraai Mohd. Razman; Ahmad Shahrizan Abdul Ghani; Muhammad Aizzat Zakaria; Wan Hasbullah Mohd. Isa; Anwar P. P. Abdul Majeed	1st ed. 2022	Springer Nature Singapore
Multi-Deep Net Based Hyperspectral Image Classification	Linmi Tao; Atif Mughees	Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation	Shoji Kido; Yasushi Hirano; Shingo Mabu	Deep Learning in Medical Image Analysis: Challenges and Applications	Gobert Lee; Hiroshi Fujita	1st ed. 2020	Springer International Publishing
Image classification using deep learning		Deep Learning with PyTorch 1. x: Implement deep learning techniques and neural network architecture variants using Python, 2nd Edition	Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian	2019	Packt Publishing
Image classification using deep learning		Deep learning with PyTorch: a practical approach to building neural network models using PyTorch	Subramanian, Vishnu	2018	Packt Publishing
Image classification using deep learning		Deep Learning with PyTorch	Vishnu Subramanian	2018	Packt Publishing
Deep Learning for Histopathological Image Analysis	Cédric Wemmert; Jonathan Weber; Friedrich Feuerhake; Germain Forestier	Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications	Mourad Elloumi	1st ed. 2021	Springer International Publishing
Hyperspectral Tongue Image Classification	David Zhang; Hongzhi Zhang; Bob Zhang	Tongue Image Analysis	David Zhang; Hongzhi Zhang; Bob Zhang	1st ed. 2017	Springer Nature Singapore
Hyperspectral Image Classification Methods	Lu Jiang; Bin Zhu; Yang Tao	Hyperspectral Imaging for Food Quality Analysis and Control	Professor Da-Wen Sun	2010	Academic Press
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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