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Uğur Murat Leloğlu
E-mail
leloglu@metu.edu.tr
Department
Graduate School of Natural and Applied Sciences
ORCID
0000-0002-8584-7301
Scopus Author ID
24450779500
Web of Science Researcher ID
A-9106-2018
Publications
Theses Advised
Open Courses
Projects
A Novel Semantic Content-Based Retrieval System for Hyperspectral Remote Sensing Imagery
Ömrüuzun, Fatih; Yardımcı Çetin, Yasemin; Leloğlu, Uğur Murat; Demir, Begüm (2024-04-01)
With the growing use of hyperspectral remote sensing payloads, there has been a significant increase in the number of hyperspectral remote sensing image archives, leading to a massive amount of collected data. This highlig...
Forest stand segmentation with multi-temporal Sentinel-2 imagery and superpixels
Demirpolat, Caner; Leloğlu, Uğur Murat (2024-01-01)
Forest stands are the basic units of forest management, whose delineation is a fundamental and significant step for creating stand-level field inventories. Traditional and recent methods for delineation often rely on expen...
Extraction and classification of channels from LiDAR in plains by channel tracking
Arghavanian, Azar; Leloğlu, Uğur Murat (2024-01-01)
Accurate and detailed maps of irrigation and drainage networks in plains are imperative for efficient water management. Conducting field surveys of these networks proves to be expensive and labor-intensive. Besides, manual...
Mapping Mediterranean maquis formations using Sentinel-2 time-series
Listiani, Indira Aprilia; Leloğlu, Uğur Murat; Zeydanli, Ugur; Caliskan, Bilgehan Kaan (2022-11-01)
Maquis, which provides numerous ecosystem services and constitutes an integral part of the Mediterranean ecosystem, is highly heterogeneous. However, despite its importance and heterogeneity, maquis is generally mapped as ...
Wetland spectral unmixing using multispectral satellite images
Ozer, Erdem; Leloğlu, Uğur Murat (2022-07-01)
Wetlands are of great importance to the diversity of biota and ecology, thereby to humans. Monitoring such valuable areas is essential for sustainable development. When the sizes, geographic distribution, and total coverag...
Early wheat yield estimation at field-level by photosynthetic pigment unmixing using Landsat 8 image series
Ozcan, Aysenur; Leloğlu, Uğur Murat; Süzen, Mehmet Lütfi (2021-03-01)
This paper presents a novel approach for estimating wheat yields based on estimated abundances of endmembers attributed to photosynthetic pigments, using Landsat 8 images acquired during maximum greenness. Endmembers withi...
Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery
Caglayan, Semiha Demirbas; Leloğlu, Uğur Murat; Ginzler, Christian; Psomas, Achilleas; Zeydanlı, Uğur Siyami; Bilgin, Cemal Can; Waser, Lars T. (2020-07-01)
Essential forest ecosystem services can be assessed by better understanding the diversity of vegetation, specifically those of Mediterranean region. A species level classification of maquis would be useful in understanding...
A Method to Enhance Homogeneous Distribution of Matched Features for Image Matching
Gülmez, Baran; Demirtaş, Fatih; Leloğlu, Uğur Murat; Yaman, Mustafa; Güneyi, Eylem Tuğçe (2019-12-01)
Features are distinctive landmarks of an image. There are various feature detection and description algorithms. Many computer vision algorithms require matching of features from two images. Large number of correct matches ...
A fast and automated hydrologic calibration tool for SWAT
ÖZDEMİR, AYFER; Leloğlu, Uğur Murat (2019-11-01)
In order to apply hydrological models in the water resources investigation successfully, careful calibration and uncertainty analysis are required. Although many automatic calibration methods were developed, the time consu...
BoVSG: bag of visual SubGraphs for remote sensing scene classification
Amiri, Khitem; Farah, Mohamed; Leloğlu, Uğur Murat (2019-10-27)
Remote sensing scene classification is gaining much more interest in the recent few years for many strategic fields such as security, land cover and land use monitoring. Several methods have been proposed in the literature...
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