Logo video2dn
  • Сохранить видео с ютуба
  • Категории
    • Музыка
    • Кино и Анимация
    • Автомобили
    • Животные
    • Спорт
    • Путешествия
    • Игры
    • Люди и Блоги
    • Юмор
    • Развлечения
    • Новости и Политика
    • Howto и Стиль
    • Diy своими руками
    • Образование
    • Наука и Технологии
    • Некоммерческие Организации
  • О сайте

Скачать или смотреть SADA: AI-powered remote sensing analysis for archaeology

  • Aerial Archaeology Research Group
  • 2026-01-19
  • 10
SADA: AI-powered remote sensing analysis for archaeology
  • ok logo

Скачать SADA: AI-powered remote sensing analysis for archaeology бесплатно в качестве 4к (2к / 1080p)

У нас вы можете скачать бесплатно SADA: AI-powered remote sensing analysis for archaeology или посмотреть видео с ютуба в максимальном доступном качестве.

Для скачивания выберите вариант из формы ниже:

  • Информация по загрузке:

Cкачать музыку SADA: AI-powered remote sensing analysis for archaeology бесплатно в формате MP3:

Если иконки загрузки не отобразились, ПОЖАЛУЙСТА, НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если у вас возникли трудности с загрузкой, пожалуйста, свяжитесь с нами по контактам, указанным в нижней части страницы.
Спасибо за использование сервиса video2dn.com

Описание к видео SADA: AI-powered remote sensing analysis for archaeology

#aerialarchaeology #archaeology #aarg #remotesensing #AI

From the Aerial Archaeology Research Group 2025 Annual Meeting
https://aargonline.com/wp/events/aarg...

SESSION 2: AI AND AUTOMATION
SADA: AI-powered remote sensing analysis for archaeology – A user friendly, ChatGPT-co-created tool for non-experts by Gabriele Ciccone, Nicodemo Abate & Nicola Masini

Artificial Intelligence (AI) is transforming archaeological research, yet its adoption is often hindered by technical complexity and the need for specialized expertise. To bridge this gap, we present SADA (Smart Anomaly Detection Assistant), an AI-driven remote sensing tool co-developed with ChatGPT.
Designed for archaeologists with little or no background in remote sensing, SADA consolidates multiple analytical methods into a single, accessible application. A key strength of SADA is its intuitive and user-friendly interface, which simplifies advanced AI-driven image processing. Integrated tooltips provide step-by-step guidance, enabling researchers to apply complex analytical techniques with ease.
The system includes automated statistical anomaly detection methods such as PCA, K-Means clustering, Isolation Forest, SVM, DBSCAN and Local Outlier Factor, as well as spatial analysis tools like LISA. Additional functionalities include histogram equalization and transformation to enhance image contrast, raster-based calculations for custom index generation, and mask creation and selection tools to isolate areas of interest with precision.
Developed with ChatGPT’s assistance, SADA also highlights the potential of human-AI collaborative coding in archaeology. This approach accelerates development while optimizing algorithms and enhancing usability through interdisciplinary innovation. SADA is being developed by CNR - ISPC within the PNRR CHANGES project (Spoke 5) and will be released as open-source software, following the approach of other ISPC-CNR tools such as ATON and Extended Matrix.
This ensures maximum accessibility, transparency, and adaptability, allowing the archaeological and heritage science community to expand its functionalities according to specific needs. By democratizing AI-powered remote sensing, SADA aligns with the goals of the Managing Artificial Intelligence in Archaeology COST Action (CA23141), fostering a more inclusive and data-driven approach to heritage management. The presentation will showcase SADA’s real-world applications, development process, and future implications for AI-assisted archaeological research.

Video by ‪@TaleE-library‬

Комментарии

Информация по комментариям в разработке

Похожие видео

  • О нас
  • Контакты
  • Отказ от ответственности - Disclaimer
  • Условия использования сайта - TOS
  • Политика конфиденциальности

video2dn Copyright © 2023 - 2025

Контакты для правообладателей [email protected]