Results 61 to 70 of about 5,054,495 (195)

SCOPE-YOLO: An Integrated Super-Resolution and Detection Framework for Power Transmission Tower Monitoring in Remote Sensing Imagery

Remote Sensing
Reliable knowledge of power transmission tower locations is fundamental for large-scale inspection and asset management in modern power grids. However, in satellite and aerial remote sensing imagery, towers typically appear as small, slender structures ...
Dachuan Xu, Hao Wang, Shijie Li, Yuhao Ge, Yang Yang, Cheng Su, Zixuan Zhao, Shaohua Wang   +7 more
doaj   +1 more source

A Distributed Vision‐Based System for Cost‐Effective Fault Diagnosis of Modular Bridge Expansion Joints

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Detecting faults in modular bridge expansion joints (MBEJs) is a critical challenge, as their complex dynamic behavior under operational loads is difficult to characterize with conventional methods. Existing monitoring approaches often face a trade‐off between high cost, intrusive installation, and an inability to capture the distributed kinematic ...
Haoxiang Huang, Dalei Wang, Yue Pan, Minglei Ma, Airong Chen, Jun Li   +5 more
wiley   +1 more source

Comparative Evaluation of Deep Learning–Based Super–Resolution Models for Urban Flood Mapping

Journal of Flood Risk Management, Volume 18, Issue 4, December 2025.
ABSTRACT Urban flood forecasting benefits from high‐resolution inundation maps, but fine‐grid hydrodynamic simulations are computationally costly. We compared three CNN–based super–resolution (SR) models, ResUNet, EDSR, and RCAN, for downscaling physics–based simulations in downtown Portland, Oregon, using paired flood maps at 1 m (HR) and both 4 and 8 
Hyeonjin Choi, Hyuna Woo, Hyungon Ryu, Dong Sop Rhee, Seong Jin Noh   +4 more
wiley   +1 more source

Leveraging ESRGAN for High-Quality Retrieval of Low-Resolution Batik Pattern Datasets [PDF]

As one of the world's cultural heritages in Indonesia, batik is one of the quite interesting research subjects, including in the realm of image retrieval.
Haqim, Gilang Nuril, Marthasari, Gita Indah, Regata Akbi, Denar, Azhar, Yufis, Minarno, Agus Eko   +4 more
core   +1 more source

A novel deep learning technique for medical image analysis using improved optimizer

Health Informatics Journal
Application of Convolutional neural network in spectrum of Medical image analysis are providing benchmark outputs which converges the interest of many researchers to explore it in depth.
Vertika Agarwal, MC Lohani, Ankur Singh Bist   +2 more
doaj   +1 more source

Second‐Order Degradation Modeling and Multiscale Feature Fusion for High‐Fidelity Segmentation of Low‐Quality Digital Rock Images

Geophysical Research Letters, Volume 52, Issue 19, 16 October 2025.
Abstract Digital Rock Physics (DRP) is a critical tool for characterizing rock properties and modeling multiphase flow, but segmenting low‐quality (LQ) rock images remains a key challenge due to partial volume blurring. In this study, we propose a method that leverages a second‐order degradation model to generate physically meaningful synthetic LQ and ...
Lulu Xu, Zhenxue Dai, Yi Du, Xiaoying Zhang, Huichao Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Meifeng Cai, Kenneth C. Carroll   +8 more
wiley   +1 more source

Application of Real-ESRGAN in improving IR sensor Images for use in SAR operations [PDF]

The use of Unmanned Aerial Vehicles (UAVs) in search and rescue operations has grown significantly, primarily due to reduced costs and lower associated risks.
CORREA, Vinícius Henrique Geraldo
core   +1 more source

A data augmentation method for pavement crack detection based on super‐resolution and denoising diffusion probabilistic models

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 25, Page 4212-4225, 20 October 2025.
Abstract Automated detection of pavement cracks is a task of wide interest. With the improvement of industrialization, high‐resolution (HR) images are increasingly favored by researchers due to their ability to provide rich information about pavements and diseases.
Hui Yao, Yanhao Liu, Svetlana Besklubova, Ioannis Brilakis, Meng Guo, Jin Wang, Min Wang   +6 more
wiley   +1 more source

Extraction of Cladophora blooms in Qinghai Lake based on multi-source satellite remote sensing images and super-resolution method

Research in Cold and Arid Regions
Cladophora blooms, a type of large filamentous green algae, have garnered considerable attention in recent years due to their substantial outbreaks associated with climate change.
XiaoLing Gao, XiaoJun Yao, TongYu Wu, Cong Zhang   +3 more
doaj   +1 more source

Enhancing The Accuracy of Small Object Detection In Traffic Safety Attributes Using Yolov11 And Esrgan: Peningkatan Akurasi Deteksi Objek Kecil pada Atribut Keselamatan Berkendara Menggunakan Yolov11 dan ESRGAN

This study aims to detect motorcycle rider attributes, specifically helmets and side mirrors, using a deep learning approach combining YOLOv11 and ESRGAN models.
Pinem, Tuahta Hasiholan, Haris, Muhammad
core   +1 more source