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, Haifa (author)
مؤلفون آخرون:	Francis, Diana (author), Cherif, Charfeddine (author), Pavlopoulos, Kosmas (author), Ghedira, Hosni (author), Griffiths, Steven (author)
منشور في:	2023
الموضوعات:	archeology remote sensing geospatial analysis machine learning artificial intelligence SAR PALSAR-2 Worldview-3 Saruq Al-Hadid Dubai United Arab Emirates
الوصول للمادة أونلاين:	https://depot.sorbonne.ae/handle/20.500.12458/1415
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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