Hybrid HRNet-Swin Transformer: Multi-Scale Feature Fusion for Aerial Segmentation and Classification
Remote sensing plays a pivotal role in environmental monitoring, disaster relief, and urban planning, where accurate scene classification of aerial images is essential. However, conventional convolutional neural networks (CNN... | Find, read and cite all the research you need on Tech Science Press
Authors
- Mohammed S. Alshehri (ORCID: https://orcid.org/0000-0001-9471-7720)
- Abdulmonem Alshahrani (ORCID: https://orcid.org/0000-0003-2984-0612)
- Asaad Algarni (ORCID: https://orcid.org/0000-0002-0817-5775)
- Yahya Alqahtani (ORCID: https://orcid.org/0000-0001-8622-0722)
- Jeongmin Park (ORCID: https://orcid.org/0000-0001-8027-0876)
- Aysha Naseer
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.064268
- Citations
- 1
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.76
Funders
- King Khalid University
- Ministry of Science and ICT, South Korea
- Northern Border University
- Institute for Information and Communications Technology Promotion