Salvatore Savastano

Salvatore Savastano
isardSAT

Doctor of Philosophy

About

5
Publications
574
Reads
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8
Citations
Citations since 2017
3 Research Items
5 Citations
20172018201920202021202220230.00.51.01.52.0
20172018201920202021202220230.00.51.01.52.0
20172018201920202021202220230.00.51.01.52.0
20172018201920202021202220230.00.51.01.52.0

Publications

Publications (5)
Preprint
Full-text available
Remote sensing, and particularly Sinthetic Aperture Radar (SAR) is a potential tool to monitor the presence of plastic on the ocean surface, and AI algorithms can learn to find patterns in the satellite signals that lead to automatic detection of plastic patches. The main challenge to train AI algorithms for this purpose is the lack of in-situ grou...
Conference Paper
This paper proposes an unsupervised clustering algorithm for multispectral images, which automatically determines the number of statistically distinct clusters in the image. It uses the multivariate student-t distribution as a more flexible underlying statistical model, with the Gaussian as only a special case. The algorithm shows better data model...

Questions

Question (1)
Question
For my PhD project I need to work with this type of data, collecting all possible info recorded during the acquisition step and used in the focusing stage. I have the permission from ESA to download them through Eolisa. Unfortunately the files have extension .E1 or .E2 and and not .dat (as requested in commercial software as ENVI that reads ERS-1 Level-0 with extension dat*.001). Is there someone who has worked with this type of data?

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