Building detection in VHR remote sensing images using a novel dual attention residual-based U-Net (DAttResU-Net): An application to generating building change …

E Khankeshizadeh, A Mohammadzadeh… - Remote Sensing …, 2024 - Elsevier
In today's era, increasing access to very high-resolution remote sensing images (VHR-RSIs)
has enhanced building detection and change assessment capabilities. These applications …

İnsansız Hava Aracı Teknolojisi ve Operatörlüğü Eğitim Kitabı

M Yakar, A Ulvi, Ş Fidan, A Karabacak… - Mersin Üniversitesi …, 2023 - publish.mersin.edu.tr
Özet Bazı kaynaklarda drone olarak da bilinen insansız hava aracı (İHA), içinde herhangi bir
insan olmayan bir hava aracıdır. İHA'lar başlangıçta askeri görevler için geliştirilmiş olup …

Bundle adjustment with motion constraints for uncalibrated multi-camera systems at the ground level

D Huang, R Qin, M Elhashash - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Multi-camera systems for structure from motion (SfM) are widely deployed in many mapping
applications. Existing solutions assume known rig calibration, synchronized frames among …

RF-DET: Refocusing on the small-scale objects using aggregated context for accurate power transmitting components detection on UAV oblique imagery

Z Yan, C Chen, S Wu, Z Wang, L Li, S Sun… - ISPRS Journal of …, 2025 - Elsevier
In transmission lines, regular inspections are crucial for maintaining their safe operation.
Automatic and accurate detection of power transmission facility components (power …

İnsansız hava aracı uygulama alanları

M Yakar, O Villi - Mersin Üniversitesi Harita Mühendisliği …, 2023 - publish.mersin.edu.tr
Özet Kaynaklarda “drone” olarak da bilinen insansız hava aracı (İHA), üzerinde pilotu
olmayan, uzaktan kontrol edilebilen, otonom, yarı otonom veya tamamen bir operatör …

[HTML][HTML] A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model

J Jiang, D Murray, V Stankovic, L Stankovic… - Science of Remote …, 2025 - Elsevier
With the increased frequency and intensity of landslides in recent years, there is growing
research on timely detection of the underlying subsurface processes that contribute to these …

Image Processing Technique for Tracking and Counting of Vehicles Using ROI

A Kumar, R Chandel, M Singh - 2023 International Conference …, 2023 - ieeexplore.ieee.org
This research paper presents a novel approach for vehicle tracking and counting utilizing
the advanced object detection model YOLOv8 in the field of image processing. The accurate …

Gelişmiş Deniz Gözlemi: SAR Tabanlı Gemi Tespiti için CNN Algoritmalarının Kullanımı

Hİ Şenol - Türkiye Lidar Dergisi, 2023 - dergipark.org.tr
Deniz gözetiminde gemilerin tespiti, önemli pratik uygulamaları olan temel bir araştırmadır.
Bu çalışmada Sentinel-1 verilerinin ve Faster R-CNN algoritmalarının gemi tespiti için …

Automatic area measurement of ring cooler corner images based on EU-Net

W Wang, D Zhang, Q Li, J Li, J Ma… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Aimed to mitigate the challenges associated with manual detection, such as elevated risks
and limited accuracy, a machine vision-based automatic measurement method is proposed …

A deep neural network for vehicle detection in aerial images

R Du, Y Cheng - Journal of Intelligent & Fuzzy Systems - content.iospress.com
This research paper highlights the significance of vehicle detection in aerial images for
surveillance systems, focusing on deep learning methods that outperform traditional …