Hybrid deep learning for satellite image classification: Integrating CNN and transformer architectures

This publication has 28 references indexed in Scilit:

• AnyTime-CD: Self-supervised change detection in arbitrary-length dense time series of high-resolution remote sensing images
  Remote Sensing of Environment, 2026
• MTMixer: a hybrid Mamba-Transformer architecture for multimodal remote sensing image classification
  International Journal of Remote Sensing, 2025
• Mamba-DCAU: state space dual attention center-sampling U-Net for hyperspectral image classification
  International Journal of Remote Sensing, 2025
• Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization
  Scientific Reports, 2025
• YOLO-based Object Detection Models: A Review and its Applications
  Multimedia Tools and Applications, 2024
• Dcrff-Lhrf: an improvised methodology for efficient land-cover classification on eurosat dataset
  Multimedia Tools and Applications, 2023
• Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
  Environmental Science and Pollution Research, 2021
• Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA
  International Journal of Remote Sensing, 2012
• An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran
  Landscape and Urban Planning, 2011
• A survey of image classification methods and techniques for improving classification performance
  International Journal of Remote Sensing, 2007