Multi-Sensor Fusion for Remote Sensing of Metallic and Non-Metallic Object Classification in Complex Soil Environments and at Different Depths-Reference-Cited by-同舟云学术

Multi-Sensor Fusion for Remote Sensing of Metallic and Non-Metallic Object Classification in Complex Soil Environments and at Different Depths

Author:

Khan Misha Urooj¹^ORCID,Kamran Muhammad Ahmad¹^ORCID,Khan Wajiha Rahim¹^ORCID,Ibrahim Malik Muhammad²,Ali Muhammad Umair³^ORCID,Lee Seung Won⁴^ORCID

Affiliation:

1. Artificial Intelligence Technology Center (AITeC), National Center for Physics (NCP), Islamabad, Pakistan

2. Department of Scientific Computing, Pukyong National University, Busan, South Korea

3. Department of Artificial Intelligence and Robotics, Sejong University, Seoul, South Korea

4. Department of Precision Medicine, School of Medicine, Sungkyunkwan University, Suwon, South Korea

Funder

National Research Foundation (NRF) grant funded by the Ministry of Science and ICT (MSIT), South Korea, through the "Development Research Program"

Artificial Intelligence Technology Center (AITeC), National Center for Physics ? NCP, Islamabad

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference50 articles.

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