The activity aims to develop and validate a software package for conducting Video-SAR processing of SAR data, exploiting very long dwell time acquisitions and subaperture techniques. It also includes the performance assessment of the proposed approach and the demonstration of its effectiveness through application to real-data scenarios. In the final phase of the project, a …
Advancements in space technologies in the last decades have laid the basis for a new era for space-based sensing exploiting Synthetic Aperture Radar (SAR) imaging, spurred on by the potential to deploy constellations of micro-satellites equipped with antennae possessing significant gain and steering capabilities. Long dwell-time products with fine spatial resolution enable the extraction of …
The project aims to consolidate existing results in the field of micro-Doppler information extraction from spaceborne SAR and to enhance the overall understanding of the phenomenology, models, processing algorithms, applications, and commercial value. The project focuses on assessing the performance of emerging information extraction methods as novel applications and on demonstrating the added value of …
The project aims to develop and validate robust micro-Doppler (m-D) algorithms by demonstrating their reliability through real-world use cases and operational scenarios, with a specific focus on the monitoring of critical infrastructures such as bridges and water towers. Validation activities include detailed testing and the production of comprehensive test reports. The project involves the comparison …
The project aims to consolidate and expand current findings in the field of information extraction from spaceborne Synthetic Aperture Radar (SAR) using Inverse Synthetic Aperture Radar (ISAR) techniques. Its objective is to enhance the understanding of various aspects, including the underlying phenomena, mathematical models, data processing algorithms, practical applications, and the overall utility of this …
This PolInSAR course is an online, hands-on course that aims to develop an understanding of the information content of multi-parameter SAR data in an interactive way, without assuming any prior/background knowledge – though some knowledge in Python programming is welcome. It is organised around 11 sessions over 11 weeks, with lectures and tutorials ranging from SAR image formation up …
“Participating in the LPF was a very valuable experience for me, because I established contacts with other scientists and gained new skills and knowledge, which will certainly pay off in my scientific career” After completing her fellowship, Karolina returned to the Wroclaw University of Science and Technology in Poland. She continues to work there as …
The EO4Resilience project aims to develop innovative Earth Observation (EO)-based biodiversity indicators to assess forest resilience to drought. By leveraging data from hyperspectral and synthetic aperture radar (SAR) missions, the project seeks to establish a set of Essential Biodiversity Variables (EBVs) to monitor and better understand the role of biodiversity in resilience to environmental stress. …
The ability to accurately characterize either fixed objects or moving targets is a critical need for security, defence and intelligence purposes. Spaceborne Synthetic Aperture Radar (SAR) systems are revolutionizing this domain, and advancements in Inverse SAR (ISAR) techniques offer unprecedented improvements in moving target identification and analysis. Current EO systems can provide very high-resolution (VHR) …
The combined use of traditional satellite SAR and Inverse SAR (ISAR) techniques applied to SAR data has been investigated to assess their impact on feature extraction processes and improvements in data fusion results. Unlike SAR, which uses the radar platform’s motion to generate a synthetic aperture for imaging, ISAR relies on the motion of the …
