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Hyperspectral Image Analysis, Prasad, Saurabh, Chanussot, Jocelyn


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Цена: 20962.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название:  Hyperspectral Image Analysis
ISBN: 9783030386191
Издательство: Springer
Классификация:




ISBN-10: 3030386198
Обложка/Формат: Trade Paperback
Страницы: 466
Вес: 0.66 кг.
Язык: English
Размер: 23.39 x 15.60 x 2.41 cm
Ссылка на Издательство: Link
Поставляется из: Германии
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.


      Старое издание
Hyperspectral Image Analysis

Автор: Prasad, Saurabh, Chanussot, Jocelyn
Название: Hyperspectral Image Analysis
ISBN: 3030386163 ISBN-13(EAN): 9783030386160
Издательство: Springer
Цена: 20962.00 р.
Наличие на складе: Есть у поставщикаПоставка 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.


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

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.

Design Analysis of a Space Based Chromotomographic Hyperspectral Imaging Experiment

Автор: Book Todd A.
Название: Design Analysis of a Space Based Chromotomographic Hyperspectral Imaging Experiment
ISBN: 1249397731 ISBN-13(EAN): 9781249397731
Издательство: Неизвестно
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Цена: 10658.00 р.
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Hyperspectral Imaging for Food Quality Analysis and Control

Автор: Sun, Da-Wen
Название: Hyperspectral Imaging for Food Quality Analysis and Control
ISBN: 0128102233 ISBN-13(EAN): 9780128102237
Издательство: Elsevier Science
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Цена: 20380.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products.

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.

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 remote sensing of vegetation /

Автор: Prasad S. Thenkabail
Название: Hyperspectral remote sensing of vegetation /
ISBN: 1138066257 ISBN-13(EAN): 9781138066250
Издательство: Taylor&Francis
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Цена: 76560.00 р.
Наличие на складе: Поставка под заказ.

Описание: The second edition includes extensive discussions on data processing and how to implement data processing mechanisms in a standard, fast, and efficient manner. Written by global experts, each chapter focuses on specific applications, reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for data usage.

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete
Название: Hyperspectral Indices and Image Classifications for Agriculture and Vegetation
ISBN: 1138066036 ISBN-13(EAN): 9781138066038
Издательство: Taylor&Francis
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Цена: 23734.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Evaluating the performance of various types of hyperspectral vegetation indices in characterizing agricultural crops, this volume discusses non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, forest leaf chlorophyll content, among other applications.

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
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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 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.
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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.

Feature Extraction Using Principal and Independent Component Analysis Aor Hyperspectral Imagery

Автор: Koo Robert
Название: Feature Extraction Using Principal and Independent Component Analysis Aor Hyperspectral Imagery
ISBN: 1288319401 ISBN-13(EAN): 9781288319404
Издательство: Неизвестно
Рейтинг:
Цена: 10658.00 р.
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Hyperspectral Imagery Target Detection Using Principal Component Analysis

Автор: Reyes Kevin B.
Название: Hyperspectral Imagery Target Detection Using Principal Component Analysis
ISBN: 1288395809 ISBN-13(EAN): 9781288395804
Издательство: Неизвестно
Рейтинг:
Цена: 10658.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.


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