Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE

Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE

In this paper, the feasibility of satellite remote sensing in detecting and predicting locations of buried objects in the archaeological site of Saruq Al-Hadid, United Arab Emirates (UAE) was investigated. Satellite-borne synthetic aperture radar (SAR) is proposed as the main technology for this ini...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ben-Romdhane, Haïfa (author)
مؤلفون آخرون: FRANCIS, Diana (author), cherif, charfeddine (author), PAVLOPOULOS, KOSMAS (author), Ghedira, Hosni (author), Griffiths, Steven (author)
التنسيق: article
منشور في: 2023
الموضوعات:
Archaeology
Remote sensing
Geospatial analysis
Machine learning
Artificial intelligence
SAR
PALSAR-2
Worldview-3
Saruq Al-Hadid
Dubai
United Arab Emirates
الوصول للمادة أونلاين:https://hdl.handle.net/11073/25755
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الانترنت

https://hdl.handle.net/11073/25755

مواد مشابهة