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307 results for “Image Classification, Remotely Sensed Imagery, Supervised Techniques”

Research Article Open Access Supervised Image Classification Methods For Extracting ManMade Objects From High Resolution Remotely Sensed Imagery
Serhat Şenses, Şenses S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…

Research Article Open Access Improving Hyperspectral Image Classification with Watershed Segmentation-Based Texture Features
Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Volkan Yılmaz, Yılmaz V, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…

Research Article Open Access Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Research Article Open Access Kentsel Mekân Farklılıklarının Isı Adası Oluşumuna Etkisinin Belirlenmesi: Erzurum Kenti Örneği
Nalan  Demircioğlu  Yıldız  , Demircioğlu  Yıldız   N, Uğur  Avdan  , Avdan   U, Zehra  Avdan  , Avdan   Z
3rd International Symposium on Innovative Approaches in Scientific Studies (Fine Arts, Design and Architecture) 2019

Tüm dünyada özellikle de kent merkezlerinde yaşayan insan nüfusu her geçen gün artmaktadır. Nüfus artışına bağlı olarak sosyal, ekonomik ve çevre sorunlarını da her geçen gün artmaktadır. Günümüzde kent merkezlerinde görülen en önemli çevre sorunlarından biri …

Research Article Open Access Görüntü Birleştirme Yöntemleri ile Çok-modlu Medikal Görüntülerin Kaynaştırılması
Fatma Çakıroğlu, Çakıroğlu F, Rıfat Kurban, Kurban R, Ali Durmuş, Durmuş A, Ercan Karaköse, Karaköse E
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.0026

Çok-modlu medikal görüntü birleştirme, görüntü kalitesini artırmak için iki ya da daha fazla medikal görüntünün birleştirilmesidir. Tıbbi görüntüleme sağlık alanında teşhis, araştırma ve tedavide önemli bir rolü üstlenmektedir. Tanı ve tedavide daha doğru klin…

Review Open Access Madencilik Faaliyetlerinde İnsansız Hava Araçlarının (İHA) Kullanımı
Bilgehan Kekeç, Kekeç B, Niyazi Bilim, Bilim N, Sertaç Dündar, Dündar S, Dhikra Ghiloufi, Ghiloufi D
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Teknoloji günümüzde her alanda kullanılmaktadır. İnsansız Hava Araçlarının da çeşitli sektörlerde (İHA) kullanımı gün geçtikçe artmaktadır. İlk zamanlarda askeri amaçlar için kullanılan İHA teknolojisi, günümüzde jeodezi, tarım, meteroloji, iletişim, acil du…

Research Article Open Access Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

Research Article Open Access Modified Synthetic Variable Ratio Pansharpening Method
Volkan Yılmaz, Yılmaz V, Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…

Research Article Open Access Eşikleme Tekniklerinin Renk Uzayı Tabanlı Kümeleme Yönteminin Başarısına Etkisi
Mahmut Kılıçaslan, Kılıçaslan M, Ufuk Tanyeri, Tanyeri U, Mürsel Ozan İncetaş, İncetaş M, Burcu Yakışır Girgin, Yakışır Girgin B, Recep Demirci, Demirci R
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Eşikleme yöntemleri kenar belirleme, bölütleme ve kümeleme yaklaşımlarında sıklıkla kullanılmaktadır. Söz konusu teknikler yardımıyla renk kanallarından çeşitli sayıda kümeler elde edilebilir. Ancak, hangi yaklaşımın daha başarılı olduğu konusu belirsizliğini …

Research Article Open Access Recent Advances on Coastal Area Detection Applications Using Satellite Imagery
Mustafa Hayri Kesikoğlu, Kesikoğlu M, Tolga Kaynak, Kaynak T, Sevim Yasemin Çiçekli, Çiçekli S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Due to the population growth, the use and management of natural resources has been one of the most important issues while ecological studies are gaining importance. In this context, the use and management of water which is the main source of life has had a maj…

Research Article Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

Review Open Access Advancements in Radar Performance through Generative AI: A Sector-Wide Survey
Selin Sevcan Çakan, Çakan S, Niyazi Ahmet Metin, Metin N, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0095

This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…

Research Article Open Access Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
Serkan Savaş, Savaş S, Nurettin Topaloğlu, Topaloğlu N, Ömer Kazcı, Kazcı Ö, Pınar Nercis Koşar, Koşar P
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.025

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

Research Article Open Access A Brief Review on Object Oriented Image Classification Methods for Information Extraction from Satellite and Aerial Images on Land Use/Cover Applications
Mustafa Hayri Kesikoğlu, Kesikoğlu M, Sevim Yasemin Çiçekli, Çiçekli S, Tolga Kaynak, Kaynak T
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Over the years, developments in the world of science and technology have emerged. Developments in image classification methods can also be evaluated in this context. Nowadays, the use of image classification methods for extracting information from data obtaine…

Research Article Open Access Error Control of Cylindrical Objects with Image Processing
Kürşad Uçar, Uçar K, Hasan Erdinç Koçer, Koçer H
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …

Research Article Open Access 2050 Mimarlık ve İç Mimarlık Eğitim Yapıları Tahayyülü Üzerine
Fahreddin Fatih Mete, Mete F
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.50.001

Mekân, bulunduğu dönemin getirileri ile şekillenir, kültürel ve teknolojik gelişmeleri ile evrilir. Eğitim yapıları da bulunduğu döneme ve teknolojik gelişmelere bağlı olarak dönüşmekte, gerek mekânsal gerek de müfredat ve öğretim kurgusu açısından değişiklikl…

Research Article Open Access Parallel Image Processing Algorithms on GPU Environment
Zafer Güler, Güler Z, Ahmet Çınar, Çınar A, Erdal Özbay, Özbay E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The use of GPUs for general purpose applications is not a recent approach, but it was quickly becoming widespread with NVIDIA's CUDA (Compute Unified Device Architecture) architecture based on C programming language in 2007. Algorithms suitable for parallel op…

Research Article Open Access Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M.  Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

Review Open Access Comparative Review of Machine Learning Methods in Revenue Forecasting
Ali Taghiyev, Taghiyev A, Özkan İnik, İnik Ö
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.54.001

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

Review Open Access Derin Öğrenme Mimarilerinden Konvolüsyonel Sinir Ağları (CNN) Üzerinde Görüntü İşleme-Sınıflandırma Kabiliyetininin Arttırılmasına Yönelik Yapılan Çalışmaların İncelenmesi
Mustafa Tüfekçi, Tüfekçi M, Fatih Karpat, Karpat F
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.007

İnsan ve bilgisayar etkileşimi, interaktif teknolojilerin tasarımı, değerlendirilmesi ve uygulanması ile ilgilenen disiplinler arası bir çalışma alanıdır. Bankalar, hastaneler, okullar, internet siteleri gibi hayatın her alanında insan ve bilgisayar etkileşimi…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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