Hyperspectral remote sensing of vegetation, second edition, four volume set,
Автор: Qian, Shen-En Название: Hyperspectral Satellites and System Design ISBN: 0367217902 ISBN-13(EAN): 9780367217907 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. 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: Borengasser, Marcus Hungate, William S. Watkins, Russell Название: Hyperspectral remote sensing ISBN: 1138747181 ISBN-13(EAN): 9781138747180 Издательство: Taylor&Francis Рейтинг: Цена: 11482.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting the fundamentals of remote sensing at an introductory level, this book explores all major aspects of hyperspectral image acquisition, exploitation, interpretation, and applications. It introduces spectral radiometry concepts, covers imaging spectrometers, and addresses atmospheric interactions.
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.
Автор: Amigo, Jos? Manuel Название: Hyperspectral Imaging ISBN: 0444639772 ISBN-13(EAN): 9780444639776 Издательство: Elsevier Science Рейтинг: Цена: 29476.00 р. 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
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
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.
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.
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.
Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete Название: Biophysical and Biochemical Characterization and Plant Species Studies ISBN: 1138364711 ISBN-13(EAN): 9781138364714 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing mechanisms.
Описание: This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying vegetation.
Описание: This book discusses both the strengths and the limitations of the topics covered: (a) hyperspectral processes, (b) sensors, and (c) data analysis. Each chapter reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in study of vegetation and its numerous applications.
Автор: Klima, Richard (appalachian State University, Boone, North Carolina, Usa) Klima, Richard E. (appalachian State University, Boone, North Carolina, Usa) Название: Advanced applications in remote sensing of agricultural crops and natural vegetation ISBN: 103247629X ISBN-13(EAN): 9781032476292 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. This edition presents an introduction and summary of various LiDAR systems and their principles and addresses the operational principles of the different components and ranging methods of LiDAR systems. It discusses the subsequent geometric processing of LiDAR data, with particular attention to quality, accuracy, and meeting standards and addresses the theories and practices of information extraction from LiDAR data, including terrain surface generation, forest inventory, orthoimage generation, building reconstruction, and road extraction. Written by leaders in the field, this comprehensive compilation is a must-have reference book for senior undergraduate and graduate students majoring or working in diverse disciplines, such as geomatics, geodesy, natural resources, urban planning, computer vision, and computer graphics. It is also vital resource for researchers who are interested in developing new methods and need in-depth knowledge of laser scanning and data processing and other professionals may gain the same from the broad topics addressed in this book. New in the Second Edition:A comprehensive array of new laser ranging and scanning technologies.Developments in LiDAR data format and processing techniques.Regrouping of surface modeling, representations and reconstruction.Enhanced discussions on the principles and fundamentals beyond small-footprint pulsed laser systems and new application examples.Many new examples and illustrations.
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