☆ 4.7 Article

A Low-Altitude Remote Sensing Inspection Method on Rural Living Environments Based on a Modified YOLOv5s-ViT

REMOTE SENSING (2022)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring

Wei Sun et al.

Summary: This study proposes a new real-time small object detection (RSOD) algorithm based on YOLOv3, which improves the accuracy of small object detection in UAV traffic images by enhancing feature extraction methods and designing a new excitation mechanism. The experimental results show that the proposed RSOD algorithm outperforms YOLOv3 in terms of mean Average Precision (mAP) on the Visdrone-DET2018 and UAVDT datasets.

APPLIED INTELLIGENCE (2022)

Add to Collection

Article Environmental Sciences

TRDet: Two-Stage Rotated Detection of Rural Buildings in Remote Sensing Images

Baochai Peng et al.

Summary: This paper proposes a two-stage rotated object detection network (TRDet) for rural buildings, which solves the problems of traditional methods in obtaining the outline of rural buildings by using a deep feature fusion network (DFF-Net) and a pixel attention module (PAM). The experimental results show that TRDet outperforms existing models in detecting small rural buildings and dense rural buildings.

REMOTE SENSING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

Wenguan Wang et al.

Summary: This paper provides a comprehensive survey on deep salient object detection (SOD), covering algorithm taxonomy, unsolved issues, and dataset evaluation. The research shows that deep learning algorithms have made significant progress in SOD, and investigates the performance under different attribute settings, the robustness to random input perturbations and adversarial attacks, and the generalization of existing datasets.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

Add to Collection

Article Chemistry, Analytical

Transmission Line Vibration Damper Detection Using Deep Neural Networks Based on UAV Remote Sensing Image

Wenxiang Chen et al.

Summary: This article proposes a vibration damper detection model named DamperYOLO based on visual technology, which improves detection speed and accuracy through edge features and attention mechanism. Multiple sets of experiments on a dataset built from UAV images prove that the model reaches the state-of-the-art level and meets the standard of real-time output of high-accuracy test results.

SENSORS (2022)

Add to Collection

Article Environmental Sciences

Identifying Damaged Buildings in Aerial Images Using the Object Detection Method

Lingfei Shi et al.

Summary: The collapse of buildings caused by earthquakes poses a serious threat to human lives and safety, highlighting the importance of quickly detecting collapsed buildings from post-earthquake images for disaster relief and assessment. While methods based on convolutional neural networks outperform traditional approaches in extracting high-dimensional features from images, there are still challenges in effectively extracting collapsed buildings due to complex post-earthquake scenes.

REMOTE SENSING (2021)

Add to Collection

Article Environmental Sciences

Road Traffic Monitoring from UAV Images Using Deep Learning Networks

Sungwoo Byun et al.

Summary: This paper proposes a deep neural network-based method for automatically estimating the speed of vehicles on roads from videos recorded using UAV. The method shows good performance in visual data at different locations in terms of detecting vehicles and estimating vehicle speeds.

REMOTE SENSING (2021)

Add to Collection

Review Multidisciplinary Sciences

Power Transmission Line Fault Detection and Diagnosis Based on Artificial Intelligence Approach and its Development in UAV: A Review

Shen Yuong Wong et al.

Summary: The paper provides an in-depth analysis of the latest artificial intelligence techniques for fault detection and classification on power transmission lines, discussing the differences in implementing intelligent methods in protection schemes and drones, and highlighting the lack of research on the application of intelligent methods in UAVs in this field.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Recent advances in deep learning for object detection

Xiongwei Wu et al.

NEUROCOMPUTING (2020)

Add to Collection

Article Environmental Sciences

Detection of Collapsed Buildings in Post-Earthquake Remote Sensing Images Based on the Improved YOLOv3

Haojie Ma et al.

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

PGA-SiamNet: Pyramid Feature-Based Attention-Guided Siamese Network for Remote Sensing Orthoimagery Building Change Detection

Huiwei Jiang et al.

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

Automatic Detection of Earthquake-Damaged Buildings by Integrating UAV Oblique Photography and Infrared Thermal Imaging

Rui Zhang et al.

REMOTE SENSING (2020)

Add to Collection

Article Computer Science, Information Systems

An Automatic Detection Method of Bird's Nest on Transmission Line Tower Based on Faster_RCNN

Fan Li et al.

IEEE ACCESS (2020)

Add to Collection

Article Engineering, Civil

Use of Multi-Rotor Unmanned Aerial Vehicles for Fine-Grained Roadside Air Pollution Monitoring

Bai Li et al.

TRANSPORTATION RESEARCH RECORD (2019)

Add to Collection

Review Environmental Sciences

Unmanned Aerial Vehicle for Remote Sensing Applications-A Review

Huang Yao et al.

REMOTE SENSING (2019)

Add to Collection

Review Computer Science, Artificial Intelligence

Object Detection With Deep Learning: A Review

Zhong-Qiu Zhao et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

Add to Collection

Article Environmental Sciences

Deep Learning Approach for Car Detection in UAV Imagery

Nassim Ammour et al.

REMOTE SENSING (2017)

Add to Collection

Review Geography, Physical

Unmanned aerial systems for photogrammetry and remote sensing: A review

I. Colomina et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)

Add to Collection

© Peeref 2019-2024. All rights reserved.