JuliaCon 2023

SARProcessing.jl: A flexible package for the SAR data processing
2023-07-26 , 32-144

With a low barrier to entry and a large ecosystem of tools and libraries that allow quick prototyping, Julia has great potential for geospatial development. SARProcessing.jl is a much open-source project with the aim of making SAR data processing easy and fast for everyone. This talk provides a gentle hands-on introduction to setting up and enjoying the SARProcessing.jl package.


Synthetic Aperture Radar (SAR) is an imaging radar technique that uses the relative motion of the sensor and advanced radar signal processing to synthesize a long antenna to generate high-resolution images of the terrain. The analysis of these data is extremely computationally demanding. Julia can have a great impact on work in Earth Observation, which mostly uses satellite-based data severely limited by traditional in-series computing (processed by computing processing units (CPUs)). Our group is developing the software package SARProcessing.jl, for the Julia programming language, which facilitates and greatly enhances the potential for carrying out work with SAR data. Our goals are to both facilitate and significantly accelerate data pipelines, making, e.g., InSAR available to a broader audience. In this talk, we will explore the functionalities of the new software package SARProcessing.jl and provide an overview of its current features.

Iga Szczesniak is a Project Developer at the Earth Observation Laboratory of the AIR Centre. She graduated with a degree in Geoinformatics and has since worked to support innovative applications of Earth Observation (EO) data using geospatial data and the Julia language. Prior to her current role, Iga conducted a socio-economic analysis of the EO market at the European Space Agency (ESA). In addition to her professional work, she serves on the organizing committee of JuliaEO 2023 - Global Workshop on Earth Observation with Julia. She loves talking about NewSpace, Synthetic Aperture Radar, and innovative applications of remote sensing data.

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Kristian Aalling Sørensen took a Master in Science and Engineering in Earth and Space Physics and Engineering with a specialisation in Earth Observation from the National Space Institute of Denmark. He has since 2020 worked with the Center for Security at DTU and is currently working towards a Ph.D. at DTU Space. In his work, he is working on increasing maritime domain awareness using satellite data and artificial intelligence. His research interests include satellite data fusion and aggregation for, in particular, ship detection and classification.