Deep Learning for Hyperspectral Image Analysis and Classification, Tao Linmi, Mughees Atif

Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название: Hyperspectral Image Analysis
ISBN: 3030386198 ISBN-13(EAN): 9783030386191
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Автор: J?n Atli Benediktsson and Pedram Ghamisi
Название: Spectral-Spatial Classification of Hyperspectral Remote Sensing Images
ISBN: 1608078124 ISBN-13(EAN): 9781608078127
Издательство: Artech House
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Цена: 94870.00 T
Наличие на складе: Нет в наличии.
Описание: This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide

Автор: Tao Linmi, Mughees Atif
Название: Deep Learning for Hyperspectral Image Analysis and Classification
ISBN: 9813344199 ISBN-13(EAN): 9789813344198
Издательство: Springer
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Цена: 158380.00 T
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Описание: Introduction.- Hyperspectral Imaging System.- Classification Techniques for HSI.- Preprocessing: Noise Reduction/ Band Categorization for HSI.- Spatial Feature Extraction Using Segmentation.- Multiple Deep learning models for feature extraction in classification.- Deep learning for merging spatial and spectral information in classification.- Sparse cording for Hyperspectral Data.- Classification Applications of HSI classification.- Conclusion.

Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название: Hyperspectral Image Analysis
ISBN: 3030386163 ISBN-13(EAN): 9783030386160
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.

Название: Hyperspectral Imaging Analysis & Ap
ISBN: 1138630799 ISBN-13(EAN): 9781138630796
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: This book explores issues associated with the development, analysis, and application of essential image processing algorithms. It outlines strategies and essential image processing routines needed for making the appropriate decision during detection, classification, identification, quantification and/or prediction processes.

Автор: Chang Chein-I
Название: Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection
ISBN: 1493979256 ISBN-13(EAN): 9781493979257
Издательство: Springer
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Цена: 121000.00 T
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Описание: Focusing on the architecture and implementation of algorithms, this volume presents real-time and causal processing implementation, as well as architectures of FPGA design and parallel processing. Readers will find coverage of applications to both imaging and medical imaging.

Автор: Subhasis Chaudhuri; Ketan Kotwal
Название: Hyperspectral Image Fusion
ISBN: 1489993754 ISBN-13(EAN): 9781489993755
Издательство: Springer
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Цена: 102480.00 T
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Описание: 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.

Автор: Chein-I Chang
Название: Real-Time Progressive Hyperspectral Image Processing
ISBN: 1441961860 ISBN-13(EAN): 9781441961860
Издательство: Springer
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Цена: 121110.00 T
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Описание: Focusing on the architecture and implementation of algorithms, this volume presents real-time and causal processing implementation, as well as architectures of FPGA design and parallel processing. Readers will find coverage of applications to both imaging and medical imaging.

Название: Hyperspectral Image Fusion
ISBN: 1461474698 ISBN-13(EAN): 9781461474692
Издательство: Springer
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Цена: 102480.00 T
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Описание: 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.

Автор: Chein-I Chang
Название: Real-Time Recursive Hyperspectral Sample and Band Processing
ISBN: 3319451707 ISBN-13(EAN): 9783319451701
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. This book can be considered a companion book of author`s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.

Автор: Manolakis
Название: Hyperspectral Imaging Remote Sensing
ISBN: 1107083664 ISBN-13(EAN): 9781107083660
Издательство: Cambridge Academ
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Цена: 86590.00 T
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Описание: Understand the principles, techniques and tools of imaging spectroscopy with this introductory guide providing comprehensive coverage of sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. It explains how to apply algorithms to practical problems and interpret hyperspectral imaging data.

Автор: Chang Chein-I
Название: Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation
ISBN: 3319832301 ISBN-13(EAN): 9783319832302
Издательство: Springer
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Цена: 204970.00 T
Наличие на складе: Поставка под заказ.
Описание: This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. This book can be considered a companion book of author`s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.