Zhou Jun, Bai Xiao, Caelli Terry Computer Vision and Pattern Recognition in Environmental Informatics 9781466694354

Варианты приобретения

Цена: 218990.00T
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: 172 шт.
При оформлении заказа до: 2025-09-08
Ориентировочная дата поставки: начало Октября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Zhou Jun, Bai Xiao, Caelli Terry
Название: Computer Vision and Pattern Recognition in Environmental Informatics
ISBN: 9781466694354
Издательство: Mare Nostrum (Eurospan)
Классификация:

Экология, охрана окружающей среды, экологичные технологии

Экологический мониторинг

Распознавание образов

Машинное зрение

ISBN-10: 1466694351
Обложка/Формат: Hardback
Страницы: 381
Вес: 1.29 кг.
Дата издания: 30.11.2015
Серия: Advances in environmental engineering and green technologies
Язык: English
Иллюстрации: Black & white illustrations
Размер: 279 x 216 x 24
Читательская аудитория: Professional and scholarly
Ключевые слова: Environmental science, engineering & technology
Рейтинг:
Поставляется из: Англии
Описание: Computer Vision and Pattern Recognition (CVPR) together play an important role in the processes involved in environmental informatics due to their pervasive, non-destructive, effective, and efficient natures. As a result, CVPR has made significant contributions to the field of environmental informatics by enabling multi-modal data fusion and feature extraction, supporting fast and reliable object detection and classification, and mining the intrinsic relationship between different aspects of environmental data.Computer Vision and Pattern Recognition in Environmental Informatics describes a number of methods and tools for image interpretation and analysis, which enables observation, modelling, and understanding of environmental targets. In addition to case studies on monitoring and modeling plant, soil, insect, and aquatic animals, this publication includes discussions on innovative new ideas related to environmental monitoring, automatic fish segmentation and recognition, real-time motion tracking systems, sparse coding and decision fusion, and cell phone image-based classification and provides useful references for professionals, researchers, engineers, and students with various backgrounds within a multitude of communities.

Computer Vision and Pattern Recognition in Environmental Informatics, Zhou Jun, Bai Xiao, Caelli Terry