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Machine learning as a smog-fighting tool
06/08/2020

Machine learning as a smog-fighting tool

One of the main source of the air pollution in polish cities are stoves fired by solid fuels. The machine learning technology could make an impact on enhancing the effectiveness of identifying such installations. How to achieve desired effects and who can benefit from that?
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Rapeseed mapping with multi-temporal Sentinel-1
30/06/2020

Rapeseed mapping with multi-temporal Sentinel-1

The issues of classification and detection of the objects, as well as land cover forms using remote sensing data are frequently discussed in the literature. The technological development and increasing computing power has contributed to emerging increasingly innovative solutions allowing for exploiting greater amount of data.
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Refine LiDAR classification using deep learning algorithms
19/06/2020

Refine LiDAR classification using deep learning algorithms

We have just released white paper about our approach towards using machine learning in practice. Download our report for free and take advantage of the opportunities offered by the latest machine learning developments.
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The evaluation of the point clouds classification cleaning
08/06/2020

The evaluation of the point clouds classification cleaning

The development of classification methods results in the process of traditional methods being replaced by modern and more effective algorithms, e.g. the popular Random Forest model is being displaced by neural networks. Despite the fact those methods grants variety of the new possibilities, they also lay a great number of challenges before the technologists.
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Our first ESA project
13/01/2020

Our first ESA project

„InsSAT – Satellites in Insurance” is the official name of our project which is supported by ESA and being executed in cooperation with the Remote Sensing Centre of Institute of Geodesy and Cartography. Official commence of the project took place during the Kick-off meeting on 12 June 2019 in European Space Association HQ in Harwell.
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