☆ 4.6 Article

Deep Learning-Based Automated Background Removal for Structural Exterior Image Stitching

APPLIED SCIENCES-BASEL (2021)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Interdisciplinary Applications

Automated crack evaluation of a high-rise bridge pier using a ring-type climbing robot

Keunyoung Jang et al.

Summary: This article introduces a deep learning-based automated crack evaluation technique using a ring-type climbing robot for high-rise bridge piers, achieving a precision of 90.92%. The technique utilizes various image processing algorithms to quantify cracks and automatically establish a digital crack map.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles

Sungsik Yoon et al.

Summary: In this study, a three-phase methodology based on three-dimensional image coordinates was proposed for missing region of interest area detection and damage localization. Experimental validation showed that the proposed methodology can identify missing areas and damage locations within reasonable accuracy of 10 cm.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Deep super resolution crack network (SrcNet) for improving computer vision-based automated crack detectability in in situ bridges

Hyunjin Bae et al.

Summary: This article introduces a new deep learning approach, SrcNet, which improves crack detection by enhancing the resolution of raw digital images. Experimental results show a 24% improvement in crack detection compared to using raw images.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Bridge-surface panoramic-image generation for automated bridge-inspection using deepmatching

Jongbin Won et al.

Summary: Visual inspection is crucial for the maintenance of bridge structures, now enhanced by image-processing techniques that can localize damages. However, generating panoramic images from a series of bridge-surface images is challenging. This study introduces a method using Deepmatching for stitching bridge-surface images, with successful validation in lab-scale and field experiments.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)

添加到收藏夹

Review Computer Science, Information Systems

UAV-Based Structural Damage Mapping: A Review

Norman Kerle et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

DOG: A new background removal for object recognition from images

Wei Fang et al.

NEUROCOMPUTING (2019)

添加到收藏夹

Article Construction & Building Technology

Automatic multi-image stitching for concrete bridge inspection by combining point and line features

Renping Xie et al.

AUTOMATION IN CONSTRUCTION (2018)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging

Dongho Kang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Efficient multiple moving object detection and tracking using combined background subtraction and clustering

H. S. G. Supreeth et al.

SIGNAL IMAGE AND VIDEO PROCESSING (2018)

添加到收藏夹

Article Construction & Building Technology

UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching

Seongdeok Bang et al.

AUTOMATION IN CONSTRUCTION (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Panoramic Image Stitching for Arbitrarily Shaped Tunnel Lining Inspection

Zhi-Heng Zhu et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2016)

添加到收藏夹

Article Environmental Sciences

Diverse Scene Stitching from a Large-Scale Aerial Video Dataset

Tao Yang et al.

REMOTE SENSING (2015)

添加到收藏夹

Article Construction & Building Technology

Quality Assessment of Unmanned Aerial Vehicle (UAV) Based Visual Inspection of Structures

G. Morgenthal et al.

ADVANCES IN STRUCTURAL ENGINEERING (2014)

添加到收藏夹

Article Optics

A self-adaptive optical flow method for the moving object detection in the video sequences

Yunhong Xin et al.

OPTIK (2014)

添加到收藏夹

Article Engineering, Multidisciplinary

Multi-image stitching and scene reconstruction for evaluating defect evolution in structures

Mohammad R. Jahanshahi et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2011)

添加到收藏夹

Article Construction & Building Technology

Detection of large-scale concrete columns for automated bridge inspection

Z. Zhu et al.

AUTOMATION IN CONSTRUCTION (2010)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.