Bölüm "Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Harita Mühendisliği Bölümü" Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed için listeleme
Toplam kayıt 28, listelenen: 1-20
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3D shoreline extraction using orthophoto and LiDAR data
(Asian Association on Remote Sensing, 2016)Shorelines are complex ecosystems and vital socio-economic environments. They may change rapidly due to both natural and human-induced effects. Determination of movements along the shoreline and monitoring of the changes ... -
AN ANALYSIS OF NEIGHBOURHOOD TYPES FOR POINTNET++ IN SEMANTIC SEGMENTATION OF AIRBORNE LASER SCANNING DATA
(International Society for Photogrammetry and Remote Sensing, 8 March 20)The objective of the study is to conduct a comprehensive examination of how different neighbourhood types, namely spherical, cylindrical, and k-nearest neighbour (kNN), influence the feature extraction capabilities of the ... -
An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images
(UNIV NAC COLOMBIA, FAC INGENIERIA, DEC 2023)Image processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were ... -
AUTOMATIC EXTRACTION OF BUILDING BOUNDARIES FROM HIGH RESOLUTION IMAGES WITH ACTIVE CONTOUR SEGMENTATION
(2018)Building extraction from remotely sensed images plays an important role in many applications such as updating geographical information system, change detection, urban planning, disaster management and 3D building modeling. ... -
Automatic extraction of trees by using multiple return properties of the lidar point cloud
(2021)Airborne laser scanning has been a valuable tool for forestry applications since it began to be used commercially. Thanks to the high 3D resolution provided by the Light Detection and Ranging (LiDAR) point cloud, it has ... -
A comparative study of evolutionary computation and swarm-based methods applied to color quantization
(Elsevier Ltd, 2023)Color Quantization (CQ) is a complex and hard problem because selecting the best set of colors from many available colors and using that set to obtain a good quality image is an NP-complete problem. The use of evolutionary ... -
Comparison of histogram-curve fitting-based and global threshold methods for cloud detection
(Institute for Ionics, 2023)The goal of this research is fit the best curve to the image histogram using polynomial (i.e., linear, quadratic, cubic, and quartic), Fourier and Gaussian with two different term numbers, and Bezier functions, and then ... -
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ... -
The effect of tourism and legalization policies on summer pasture in Turkey
(Murat Yakar, 2022)In Turkey, according to Pasture Law, land allocated for farmers to spend the summer with their animals, graze their animals and benefit from grass is defined as “summer pasture (yaylak in Turkish).” Summer pasture is of ... -
Excessive groundwater withdrawal and resultant land subsidence in the Küçük Menderes River Basin, Turkey as estimated from InSAR-SBAS and GNSS measurements
(Elsevier Ltd, 2023)Küçük Menderes River Basin (KMRB) is located in the western part of Turkey in the city of İzmir. The basin hosts about half a million people and 90% of the population makes their living from farming and animal husbandry. ... -
Extraction of Water Bodies from High-Resolution Aerial and Satellite Images Using Visual Foundation Models
(Multidisciplinary Digital Publishing Institute (MDPI), April 2024)Water, indispensable for life and central to ecosystems, human activities, and climate dynamics, requires rapid and accurate monitoring. This is vital for sustaining ecosystems, enhancing human welfare, and effectively ... -
Fast building detection using new feature sets derived from a very high-resolution image, digital elevation and surface model
(Taylor and Francis Ltd., 2024)Detecting building rooftops with very high-resolution (VHR) images is an important issue in many fields, including disaster management, urban planning, and climate change research. Buildings with varying geometrical features ... -
GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India
(Springer, 2024)The significant natural energy sources for reducing the global usage of fossil fuels are renewable energy (RE) sources. Solar energy is a crucial and reliable RE source. Site selection for solar photovoltaic (PV) farms is ... -
Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
(Elsevier Inc., 2024)Early detection of plant diseases is critical to prevent disease spread and assist farmers. Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based architectures can offer practical solutions ... -
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
(Elsevier Ltd, April 2024)A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters ... -
Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
(Taylor and Francis Ltd., 2023)This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary ... -
Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
(Taylor, Francis Online, 2024)This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary ... -
MediNet: transfer learning approach with MediNet medical visual database
(Springer, 2023)The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the ... -
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet plus
(SPRINGER, 2023)Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ... -
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet++
(Springer, 2023)Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ...