Enhancing UAV Aerial Image Analysis: Integrating Advanced SAHI Techniques With Real-Time Detection Models on the VisDrone Dataset-Reference-Cited by-同舟云学术

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Enhancing UAV Aerial Image Analysis: Integrating Advanced SAHI Techniques With Real-Time Detection Models on the VisDrone Dataset

Published:2024 Issue: Volume:12 Page:21621-21633
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Muzammul M.¹^ORCID,Algarni Abdulmohsen²^ORCID,Ghadi Yazeed Yasin³^ORCID,Assam Muhammad¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. Department of Computer Science, King Khalid University, Abha, Saudi Arabia

3. Department of Computer Science and Software Engineering, Al Ain University, Al Ain, United Arab Emirates

Funder

Deanship of Scientific Research Project at King Khalid University funding through the Larg Groups

Zhejiang University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10423771.pdf?arnumber=10423771

Reference30 articles.

1. UAV-Based Forest Health Monitoring: A Systematic Review

2. Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

3. UAV Platforms and the SfM-MVS Approach in the 3D Surveys and Modelling: A Review in the Cultural Heritage Field

4. Koalas showed limited behavioural response and no physiological response to drones

5. Drones in agriculture: A review and bibliometric analysis

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1. A New Approach for Super Resolution Object Detection Using an Image Slicing Algorithm and the Segment Anything Model;Sensors;2024-07-12

2. Bearing-DETR: A Lightweight Deep Learning Model for Bearing Defect Detection Based on RT-DETR;Sensors;2024-06-30

3. An Aerial Image Detection Algorithm Based on Improved YOLOv5;Sensors;2024-04-19

4. Drone-TOOD: A Lightweight Task-Aligned Object Detection Algorithm for Vehicle Detection in UAV Images;IEEE Access;2024

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