Archaeological Methods & Applications in Multispectral Image Processing 9781785707322

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Автор: Lauren M. Santini, Willem VanEssendelft, Bryce Davenport
Название: Archaeological Methods & Applications in Multispectral Image Processing
ISBN: 9781785707322
Издательство: Marston Book Services
Классификация:

Археология

Археологическая наука, методы и технические средства

Географические информационные системы (ГИС) и дистанционное зондирование

ISBN-10: 1785707329
Обложка/Формат: Paperback
Страницы: 192
Вес: 0.52 кг.
Дата издания: 12.12.2019
Серия: Archeology
Язык: English
Иллюстрации: B/w and colour
Размер: H 297 X W 210
Читательская аудитория: Professional and scholarly
Ключевые слова: Archaeological theory,Archaeological science, methodology & techniques
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Поставляется из: Англии
Описание: Remote sensing and geographic information systems (GIS) have become standard data modelling and research tools with a wide range of applications. Aiming to facilitate discussion about the development of discipline-wide standards for technical data processing, this volume surveys the development and state of the field and showcases studies employing remotely sensed data to investigate archaeological problems in a variety of geographic settings, including the American Southwest, Kenya, Yucatan, the Mississippi Gulf Coast and Southeastern Louisiana, and the Maya Lowlands. Papers highlight a series of methodological challenges across a diverse set of environmental regimes, using both tried-and-true and in-development solutions for archaeological prospection, environment characterization and heritage management. Contributors showcase innovative theoretical approaches and methods in data collection and analysis that contribute to new insights, which would have been inaccessible through traditional fieldwork alone. This volume presents a discussion of the state of the field as it stands now, and a critical assessment of developments necessary to its survival and is intended to serve as a training model.

Archaeological Methods & Applications in Multispectral Image Processing, Lauren M. Santini, Willem VanEssendelft, Bryce Davenport