Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach-Reference-Cited by-同舟云学术

Efficient Multi-Object Recognition Using GMM Segmentation Feature Fusion Approach

Published:2024 Issue: Volume:12 Page:37165-37178
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Naseer Aysha¹,Alzahrani Hamdan A.²,Almujally Nouf Abdullah³,Nowaiser Khaled Al⁴,Mudawi Naif Al⁵,Algarni Asaad⁶^ORCID,Park Jeongmin⁷^ORCID

Affiliation:

1. Department of Computer Science, Air University, Islamabad, Pakistan

2. College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

3. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

4. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

5. Department of Computer Science, College of Computer Science and Information System, Najran University, Najran, Saudi Arabia

6. Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia

7. Department of Computer Engineering, Tech University of Korea, Gyeonggi-do, Siheung-si, South Korea

Funder

Princess Nourah bint Abdulrahman University Researchers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10456999.pdf?arnumber=10456999

Reference69 articles.

1. Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

2. Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model

3. Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm

4. Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China

5. Multi-region Nonuniform Brightness Correction Algorithm Based on L-Channel Gamma Transform

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vision-Based Construction Safety Monitoring Utilizing Temporal Analysis to Reduce False Alarms;Buildings;2024-06-20