aj1365 / 3dgan-vit

Here is the code developed for the paper "A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples" puplished in International Journal of Applied Earth Observation and Geoinformation.

Ali Jamali

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🔬 Ali Jamali is an expert in satellite and airborne remote sensing research and development with a Ph.D. degree in Geoinformatics.

Experiences:

• Developed cutting-edge methods for various remote sensing applications (e.g., deforestation mapping, flood monitoring, wetlands mapping and monitoring)
• Experience working with top scientists in remote sensing and computer science
• Extensive industrial and academic R&D experience
• Proven academic research and development capability in digital image processing for optical and SAR remote sensing

Areas of Interest:

• Geoinformatics, Geographical Information Science (GIS), Geospatial data analysis
• Remote Sensing, Earth Observation, Synthetic Aperture Radar (SAR), Multispectral, Hyperspectral
• Large-scale area monitoring, change detection, time series analysis, site monitoring
• Classification, Segmentation
• Image Processing, Computer Vision, Deep Learning, Machine Learning, AI, Geo AI

3dgan-vit's Issues

Model