Анализ методов и средств искусственного интеллекта для анализа и интерпретации данных активного дистанционного зондирования
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Вестник СГУГиТАрхив журнала Анализ методов и средств искусственного интеллекта для анализа и интерпретации данных активного дистанционного зондирования

Анализ методов и средств искусственного интеллекта для анализа и интерпретации данных активного дистанционного зондирования

Картография и геоинформатика
УДК: 004.8:528.8
DOI: 10.33764/2411-1759-2022-27-3-74-94
А. А. Колесников 1
Год: 2022
Том: 27
№: 3
Страницы: 74 - 94
1 Сибирский государственный университет геосистем и технологий, г. Новосибирск, Российская Федерация

Финансирование: -

Аннотация:

Данные дистанционного зондирования, как и большинство видов пространственных данных, являются комплексными, динамическими, слабоструктурированными, что затрудняет создание однозначного и универсального процесса их обработки и использования. В то же время развитие аппаратного обеспечения, методов и алгоритмов искусственного интеллекта и машинного обучения привело к тому, что направления информационных технологий находят применение практически во всех областях науки и техники, в том числе и при обработке пространственных данных. В статье сформулированы основные сложности и задачи обработки данных дистанционного зондирования, представлены наиболее распространенные в настоящее время методы и средства их обработки, использующие технологии искусственного интеллекта с целью автоматизации процессов. Рассмотрены возможности использования конкретных алгоритмов и методов искусственного интеллекта для всех этапов обработки данных активного дистанционного зондирования.

Ключевые слова (RU):

искусственный интеллект, активное дистанционное зондирование, обработка данных, машинное обучение, облака точек

Ключевые слова (EN):

artificial intelligence, active remote sensing, data processing, machine learning, point clouds

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