S
Sultan Kocaman
Researcher at Hacettepe University
Publications - 81
Citations - 958
Sultan Kocaman is an academic researcher from Hacettepe University. The author has contributed to research in topics: Computer science & Landslide. The author has an hindex of 14, co-authored 64 publications receiving 558 citations. Previous affiliations of Sultan Kocaman include ETH Zurich.
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A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest.
TL;DR: This study investigates the performances of landslide susceptibility maps produced with three different machine learning algorithms in a recently constructed and activated dam reservoir and assess the external quality of each map by using pre- and post-event photogrammetric datasets.
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A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey
TL;DR: In this paper, landslide susceptibility mapping performance of XGBoost algorithm was evaluated in a landslide-prone area in the upper basin of Ataturk Dam, which is a prime investment located in the southeast of Turkey.
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A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality
TL;DR: A convolutional neural network architecture is proposed to validate landslide photos collected by citizens or nonexperts and integrated into a mobile- and web-based GIS environment designed specifically for a landslide CitSci project.
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Orientation and self‐calibration of ALOS PRISM imagery
Sultan Kocaman,Armin Gruen +1 more
TL;DR: In this article, a set of algorithms for processing of high-resolution satellite images (HRSI) at sub-5m footprint are developed at the Institute of Geodesy and Photogrammetry (IGP), ETH Zurich and realised in a software suite called Satellite Image Precision Processing (SAT-PP).
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Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)
TL;DR: The results demonstrate that multi-hazard susceptibility assessment maps for urban planning can be obtained by combining a set of expert-based and ensemble learning methods.