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
Using satellite imagery to map rural marketplaces and monitor their activity at high frequency. 2026-05-09
DOI: https://doi.org/10.1038/s41467-026-72865-z
Complex-Valued Autoencoder-Based Neural Data Compression for SAR Raw Data. 2025-04
DOI: https://doi.org/10.1109/JSTSP.2025.3558651
Joint Underwater Depth Estimation and Dehazing from a Single Image Using Attention U-Net. 2025
DOI: https://doi.org/10.1007/978-3-031-87897-8_6
Towards Complex-Valued Deep Architectures with Data Model Preservation for Sea Surface Current Estimation from SAR Data. 2023-09-20
DOI: https://doi.org/10.1145/3617233.3617271
Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information. 2023-07-16
DOI: https://doi.org/10.1109/igarss52108.2023.10282287
Complex-Valued End-to-End Deep Network With Coherency Preservation for Complex-Valued SAR Data Reconstruction and Classification. 2023
DOI: https://doi.org/10.1109/TGRS.2023.3267185
S1SLC_CVDL: A Complex-Valued Annotated Single Look Complex Sentinel-1 SAR dataset for Complex-Valued Deep Networks. 2023
DOI: https://doi.org/10.21227/NM4G-YD98
Synthetic Aperture Radar (SAR) for Ocean: A Review. 2023
DOI: https://doi.org/10.1109/JSTARS.2023.3310363
Ocean Remote Sensing Techniques and Applications: A Review (Part I). 2022-10-26
DOI: https://doi.org/10.3390/w14213400 ISSN: https://portal.issn.org/resource/ISSN/2073-4441
Ocean Remote Sensing Techniques and Applications: A Review (Part II). 2022-10-26
DOI: https://doi.org/10.3390/w14213401
Complex-Valued Vs. Real-Valued Convolutional Neural Network for Polsar Data Classification. 2022-07-17
DOI: https://doi.org/10.1109/igarss46834.2022.9884081
Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach. 2022
DOI: https://doi.org/10.1109/JSTARS.2022.3159277
Segment-based bag of visual words model for urban land cover mapping using polarimetric SAR data. 2022
DOI: https://doi.org/10.1016/J.ASR.2021.10.042 WOSUID: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&KeyUT=WOS:000897771300002&DestLinkType=FullRecord&DestApp=WOS_CPL
Earth Observation Image Semantics: Latent Dirichlet Allocation Based Information Discovery. 2021-07-11
DOI: https://doi.org/10.1109/igarss47720.2021.9553122
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine. 2021-06-30
DOI: https://doi.org/10.3390/rs13132565
Oil Spill Four-Class Classification Using UAVSAR Polarimetric Data. 2020-09
DOI: https://doi.org/10.1007/s12601-020-0023-9 ISSN: https://portal.issn.org/resource/ISSN/1738-5261 ISSN: https://portal.issn.org/resource/ISSN/2005-7172
Synthetic aperture radar remote sensing classification using the bag of visual words model to land cover studies. 2018
