A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture

Hussain Mobarak Albarakati, Muhammad Attique Khan, Ameer Hamza, Faheem Khan, Naoufel Kraiem, Leila Jamel 0001, Latifah Almuqren, Roobaea Alroobaea. A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 17:6338-6353, 2024. [doi]

@article{AlbarakatiKHKKJAA24,
  title = {A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture},
  author = {Hussain Mobarak Albarakati and Muhammad Attique Khan and Ameer Hamza and Faheem Khan and Naoufel Kraiem and Leila Jamel 0001 and Latifah Almuqren and Roobaea Alroobaea},
  year = {2024},
  doi = {10.1109/JSTARS.2024.3369950},
  url = {https://doi.org/10.1109/JSTARS.2024.3369950},
  researchr = {https://researchr.org/publication/AlbarakatiKHKKJAA24},
  cites = {0},
  citedby = {0},
  journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
  volume = {17},
  pages = {6338-6353},
}