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Ali Jamali

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๐Ÿ”ฌ 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

GitHub Streak Stats

Python LaTeX NumPy Pandas Plotly scikit-learn SciPy Google Cloud Anaconda Keras PyTorch TensorFlow

Ali Jamali's Projects

3dgan-vit icon 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.

3dunetgsformer icon 3dunetgsformer

Here are the codes for the "3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer" paper.

agcn icon agcn

This Keras code is for the paper A. Jamali, Ali and Roy, Swalpa Kumar and Hong, Danfeng and Atkinson, Peter M and Ghamisi, Pedram, "[Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification]," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.335642 [https://ieeexplore.ieee.org/document/10409250].

deepcnn_polsar icon deepcnn_polsar

This code is for the paper "PolSAR Image Classification based on Deep Convolutional Neural Networks and Wavelet Transformation" that is published in the IEEE Geoscience and Remote Sensing Letters journal.

deepforest-wetland-paper icon deepforest-wetland-paper

Here are the codes for the "Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data" paper.

e-transunet icon e-transunet

This code is for the paper "e-TransUNet: TransUNet provides a strong spatial transformation for precise deforestation mapping" that is published in the Remote Sensing Applications: Society and Environment. journal.

hsiconvkan icon hsiconvkan

How to Learn More? Exploring the Possibility of Kolmogorov-Arnold Networks for Hyperspectral Image Classification

multimodelcnn icon multimodelcnn

Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, Sentinel-2, and LiDAR Data" paper.

polsarformer icon polsarformer

This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.

resunetformer icon resunetformer

This Keras code is for the paper A. Jamali, S. K. Roy, J. Li and P. Ghamisi, "[Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction]," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.3354560 [https://ieeexplore.ieee.org/document/10400502].

rwvunet icon rwvunet

This Keras code is for the paper Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imageryโ˜†

sgumlp icon sgumlp

This Keras code is for the paper A. Jamali, Ali and Roy, Swalpa Kumar and Hong, Danfeng and Atkinson, Peter M and Ghamisi, Pedram, "[Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping]," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2024.3354175 [https://ieeexplore.ieee.org/document/10399888/]

simpoolformer icon simpoolformer

SimPoolFormer: A Two-Stream Vision Transformer for Hyperspectral Image Classification

transunetplus2 icon transunetplus2

Here are the codes for the "TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping" paper.

vit_finetuning icon vit_finetuning

This project fine-tune a pretrained Google Vision Transformer (ViT) model on the NWPU-RESISC45 dataset using the Hugging Face Transformers library.

wetmapformer icon wetmapformer

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

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