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Our People

Reza M Asiyabi

Postdoctoral Research Associate

EO Data-Model Evaluation

Research interests

I work on AI/ML for Earth Observation, focusing on domain-aware deep learning to improve model explainability and incorporate physics-based constraints in AI systems, which is crucial for adoption of trustworthy and reliable AI in EO applications.

Recent publications

Complex-Valued Autoencoder-Based Neural Data Compression for SAR Raw Data. 2025-04

Joint Underwater Depth Estimation and Dehazing from a Single Image Using Attention U-Net. 2025

Towards Complex-Valued Deep Architectures with Data Model Preservation for Sea Surface Current Estimation from SAR Data. 2023-09-20

Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information. 2023-07-16

Complex-Valued End-to-End Deep Network With Coherency Preservation for Complex-Valued SAR Data Reconstruction and Classification. 2023

S1SLC_CVDL: A Complex-Valued Annotated Single Look Complex Sentinel-1 SAR dataset for Complex-Valued Deep Networks. 2023

Synthetic Aperture Radar (SAR) for Ocean: A Review. 2023

Ocean Remote Sensing Techniques and Applications: A Review (Part I). 2022-10-26

Ocean Remote Sensing Techniques and Applications: A Review (Part II). 2022-10-26

Complex-Valued Vs. Real-Valued Convolutional Neural Network for Polsar Data Classification. 2022-07-17

Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach. 2022

Segment-based bag of visual words model for urban land cover mapping using polarimetric SAR data. 2022

Earth Observation Image Semantics: Latent Dirichlet Allocation Based Information Discovery. 2021-07-11

Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine. 2021-06-30

Oil Spill Four-Class Classification Using UAVSAR Polarimetric Data. 2020-09

Synthetic aperture radar remote sensing classification using the bag of visual words model to land cover studies. 2018

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Contact details

University of Edinburgh