Landslide Detection Using a Saliency Feature Enhancement Technique From LiDAR-Derived DEM and Orthophotos

Autor: Biswajeet Pradhan, Husam A. H. Al-Najjar, Maher Ibrahim Sameen, Mustafa Ridha Mezaal, Abdullah M. Alamri

Publikováno v: IEEE Access, Vol 8, Pp 121942-121954 (2020)

This study proposes a new landslide detection technique that is semi-automated and based on a saliency enhancement approach. Unlike most of the landslide detection techniques, the approach presented in this paper is simple yet effective and does not

Externí odkaz: https://doaj.org/article/09a152c2814c4ce785c3ff005b01deb6

Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer

Autor: Mustafa Ridha Mezaal, Biswajeet Pradhan, Hossein Mojaddadi Rizeei

Publikováno v: Remote Sensing, Vol 10, Iss 7, p 1029 (2018)

A detailed and state-of-the-art landslide inventory map including precise landslide location is greatly required for landslide susceptibility, hazard, and risk assessments. Traditional techniques employed for landslide detection in tropical regions i

Externí odkaz: https://doaj.org/article/24a10ed6754047dca0d7582121a5b019

A Framework for Improving Urban Land Cover Using Object and Pixel-Based Techniques via Remotely Sensed Data

Autor: Ammar Shaker Mahmoud, Mustafa Ridha Mezaal, Mustafa Raad Hameed and Ahmed Samir Naje

Publikováno v: Nature Environment and Pollution Technology, Vol 21, Iss 5, Pp 2189-2200 (2022)

Recently, the advancement of remote sensing technology played a key role in urban land/cover mapping, planning, tourism, and environmental management. Images with a high spatial resolution for urban classification are widely used. Despite the high sp

Externí odkaz: https://doaj.org/article/2339bbd44ef24dbaab836d1650cd729f

Fatigue determination of the kenaf/PLA composite structure using fatigue specimen (ASTM D7791): a computational analysis

Autor: Muthana Adil Najim Abbu, Doaa Talib Hashim, Hasan Mohammed Ahmed Albegmprli, Mustafa Ridha Mezaal

Publikováno v: Eastern-European Journal of Enterprise Technologies; Vol. 1 No. 7 (121) (2023): Applied mechanics; 14-20
Eastern-European Journal of Enterprise Technologies; Том 1 № 7 (121) (2023): Прикладна механіка; 14-20

In this investigation, a kenaf/PLA composite specimen was subjected to the fatigue load, and the results were analyzed numerically. Some of the most significant fatigue tool aspects that were looked into were life expectancy, damage, alternative stre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f6739c7a032930df61269b0f9538d14
https://zenodo.org/record/7742361

Integration of Ant Colony Optimization and Object-Based Analysis for LiDAR Data Classification

Autor: Mustafa Ridha Mezaal, Helmi Zulhaidi Mohd Shafri, Maher Ibrahim Sameen, Hussain Hamid, Biswajeet Pradhan

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:2055-2066

Light detection and ranging (LiDAR) data classification provides useful thematic maps for numerous geospatial applications. Several methods and algorithms have been proposed recently for LiDAR data classification. Most studies focused on object-based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00088377b9854088f2d77a8be24be12e
https://doi.org/10.1109/jstars.2017.2650956