UNIVERSITY POLITEHNICA OF BUCHAREST (RO)
Computer-based image analysis is essential to assist human understanding and semantic annotation of satellite images of the Earth’s surface. The technical objectives of this project were the elaboration and implementation of dedicated algorithms for Sentinel-2 data analysis. The project proposes an unitary data mining concept that uses advanced data visualisation and explainable features, together with specific graphical instruments to enhance relevant aspects of Sentinel-2 imagery and enable semantic analysis based on a two-stage process:
Designed to enhance the exploitation of Sentinel-2 data through fast image understanding and analysis, the concept was implemented as Sentinel-2 dedicated data analysis (DAS-Tool) plugin for the Sentinel Application Platform (SNAP) and deployed as an open-source tool empowering the Earth Observation (EO) community with fast and reliable results.
Driven by the characteristics of Sentinel-2 data, the project aims at increasing the accuracy of traditional algorithms by combining processes that are fit to the image content. The plugin accommodates multiple solutions for each processing phase and enables flexibility in data exploration and multilevel analysis (locally – at pixel level, contextually – at patch level). The methodology reduces the semantic gap by revealing to the user the kind of patterns that are statistically similar through exploratory visual analysis. This will increase the relevance of the training samples and the accuracy given a specific application.
You can find DAS-Tool on the SNAP Community Plugins page.
See also the following publication:
A.C. Grivei, I. Neagoe, F.A. Georgescu, A. Griparis, C. Vaduva, Z. Bartalis, M. Datcu, “Multispectral data analysis for semantic assessment – A SNAP framework for Sentinel 2 use case scenarios”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 4429 – 4442, 2020, DOI: 10.1109/JSTARS.2020.3013091. https://ieeexplore.ieee.org/document/9153144
Watch a presentation about DAS-Tool at the Phi-Week 2020 here.
DAS-Tool Demo Videos:
The project was part of the ESA Romanian Industrial Incentive Scheme.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020)