Автор: Qian, Shen-En Название: Hyperspectral Satellites and System Design ISBN: 0367217902 ISBN-13(EAN): 9780367217907 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Hyperspectral Satellites and System Design is the first book on this subject. It provides a systematic analysis and detailed design of the entire development process of hyperspectral satellites.This information will help reduce the risk, shorten the development period and lower the cost of hyperspectral satellite missions.
Автор: Rees Название: Physical Principles of Remote Sensing (2017) ISBN: 052118116X ISBN-13(EAN): 9780521181167 Издательство: Cambridge Academ Рейтинг: Цена: 43990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covering a wide range of remote sensing techniques and applications, this new edition is now more accessible to students, while retaining its focus on physical and mathematical principles. Chapter summaries, review questions, problem sets and supporting online material allow students to test their understanding and practise handling data for themselves.
Автор: Donald B. Percival, Andrew T. Walden Название: Spectral Analysis for Univariate Time Series ISBN: 1107028140 ISBN-13(EAN): 9781107028142 Издательство: Cambridge Academ Рейтинг: Цена: 97150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.
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: Amigo, Jos? Manuel Название: Hyperspectral Imaging ISBN: 0444639772 ISBN-13(EAN): 9780444639776 Издательство: Elsevier Science Рейтинг: Цена: 196510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Hyperspectral Imaging, Volume 32 is a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of the applications in different scientific and industrial areas. The different application fields in which hyperspectral imaging has clearly demonstrated its advantages have bloomed in recent years. This book collects, for the first time, a comprehensive study of the main multivariate algorithms that have been used for hyperspectral image analysis in different fields of application. The benefits, drawbacks, and suitability of each are fully discussed, along with examples of applications.
Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields.
Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed
Covers state-of-the-art applications in different scientific fields
Discusses the implementation of hyperspectral devices in different environments
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.
Автор: Xiuping Jia Название: Field Guide to Hyperspectral/Multispectral Image Processing ISBN: 1510652140 ISBN-13(EAN): 9781510652149 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35110.00 T Наличие на складе: Нет в наличии. Описание: Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles recorded reveal reflected solar radiation from Earth-surface materials when the sensor is mounted on an airborne or spaceborne platform. An inverse process using machine-learning approaches is conducted for target detection, material identification, and associated environmental applications, which is the main purpose of remote sensing.This Field Guide covers three areas: the fundamentals of remote sensing imaging for image understanding; image processing for correction and quality improvement; and image analysis for information extraction at subpixel, pixel, superpixel, and image levels, including feature mining and reduction. Basic concepts and fundamental understanding are emphasized to prepare the reader for exploring advanced methods.
Название: Hyperspectral remote sensing of vegetation, second edition, four volume set ISBN: 1032475897 ISBN-13(EAN): 9781032475899 Издательство: Taylor&Francis Рейтинг: Цена: 193950.00 T Наличие на складе: Нет в наличии. Описание: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest manag
Название: Advanced applications in remote sensing of agricultural crops and natural vegetation ISBN: 1032475870 ISBN-13(EAN): 9781032475875 Издательство: Taylor&Francis Рейтинг: Цена: 44910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective.Key Features of Volume IV:Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation.Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and m
