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Full-Text Articles in Architecture

Tracking The Change In The Number Of Residential Buildings Using Remote Sensing Techniques: A Case Study For An Area In The North Of Riyadh, Abdulaziz Aldegheishem, Nayef Alharbi Oct 2021

Tracking The Change In The Number Of Residential Buildings Using Remote Sensing Techniques: A Case Study For An Area In The North Of Riyadh, Abdulaziz Aldegheishem, Nayef Alharbi

Emirates Journal for Engineering Research

This study aims to determine the urban expansion in a specific area in the north of the city of Riyadh using Remote Sensing techniques and Geographic Information Systems based on visuals and satellite images. The study seeks to determine the size of the increase in housing units in a selected area in the north of Riyadh during the period from 2007 to 2019 by studying the change in the number of residential buildings and comparing the changes that occurred during this period based on data extracted from high-resolution satellite images. Many programs have been used in correcting and balancing satellite …


A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali Jan 2021

A 3d Point Cloud Deep Learning Approach Using Lidar To Identify Ancient Maya Archaeological Sites, Heather Richards-Rissetto, David Newton, Aziza Al Zadjali

Department of Anthropology: Faculty Publications

Airborne light detection and ranging (LIDAR) systems allow archaeologists to capture 3D data of anthropogenic landscapes with a level of precision that permits the identification of archaeological sites in difficult to reach and inaccessible regions. These benefits have come with a deluge of LIDAR data that requires significant and costly manual labor to interpret and analyze. In order to address this challenge, researchers have explored the use of state-of-the-art automated object recognition algorithms from the field of deep learning with success. This previous research, however, has been limited to the exploration of deep learning processes that work with only 2D …