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


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Цена: 23757.00р.
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Автор: Tao Linmi, Mughees Atif
Название:  Deep Learning for Hyperspectral Image Analysis and Classification
ISBN: 9789813344228
Издательство: Springer
Классификация:




ISBN-10: 9813344229
Обложка/Формат: Paperback
Страницы: 220
Вес: 0.31 кг.
Дата издания: 07.03.2022
Серия: Engineering applications of computational methods
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 106 illustrations, color; 15 illustrations, black and white; xii, 207 p. 121 illus., 106 illus. in color.; 106 illustrations, color; 15 illustrations,
Размер: 23.39 x 15.60 x 1.17 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs will benefit subsequent remote sensing techniques significantly. This book develops on two fronts: On the one hand, it is aimed at domain professionals who want to have an updated overview of how hyperspectral acquisition techniques can combine with deep learning architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer vision experts by giving them a picture of how deep learning technologies are applied to hyperspectral data from a multidisciplinary perspective. The presence of these two viewpoints and the inclusion of application fields of remote sensing by deep learning are the original contributions of this review, which also highlights some potentialities and critical issues related to the observed development trends.
Дополнительное 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 classif



Real-Time Progressive Hyperspectral Image Processing

Автор: Chein-I Chang
Название: Real-Time Progressive Hyperspectral Image Processing
ISBN: 1441961860 ISBN-13(EAN): 9781441961860
Издательство: Springer
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Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Hyperspectral Image Fusion

Название: Hyperspectral Image Fusion
ISBN: 1461474698 ISBN-13(EAN): 9781461474692
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Real-Time Recursive Hyperspectral Sample and Band Processing

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: 27950.00 р.
Наличие на складе: Есть у поставщика 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.

Spectral-Spatial Classification of Hyperspectral Remote Sensing Images

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: 14230.00 р.
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

Deep Learning for Hyperspectral Image Analysis and Classification

Автор: Tao Linmi, Mughees Atif
Название: Deep Learning for Hyperspectral Image Analysis and Classification
ISBN: 9813344199 ISBN-13(EAN): 9789813344198
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Hyperspectral Image Analysis

Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название: Hyperspectral Image Analysis
ISBN: 3030386198 ISBN-13(EAN): 9783030386191
Издательство: Springer
Цена: 20962.00 р.
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.

Hyperspectral Image Analysis

Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название: Hyperspectral Image Analysis
ISBN: 3030386163 ISBN-13(EAN): 9783030386160
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
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.

Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation

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
Рейтинг:
Цена: 30745.00 р.
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.

Hyperspectral Imaging Analysis & Ap

Название: Hyperspectral Imaging Analysis & Ap
ISBN: 1138630799 ISBN-13(EAN): 9781138630796
Издательство: Taylor&Francis
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Цена: 29093.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection

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: 18150.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Hyperspectral Image Fusion

Автор: Subhasis Chaudhuri; Ketan Kotwal
Название: Hyperspectral Image Fusion
ISBN: 1489993754 ISBN-13(EAN): 9781489993755
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Hyperspectral Imaging Remote Sensing

Автор: Manolakis
Название: Hyperspectral Imaging Remote Sensing
ISBN: 1107083664 ISBN-13(EAN): 9781107083660
Издательство: Cambridge Academ
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Цена: 12989.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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