aj1365 / wetmapformer

Here are the codes for the "WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping" paper.

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

wetmapformer's Issues

visual attention map

Hello dear! I am very impressed by your work. I have read all your papers and codes as well. How do you extract feature maps? can you share a code with me ([email protected]) for extraction visual maps? I will be very thankful to you. or you can share it here please.