JRC pattern-recognition programme adopted in U.S.
As a result of transatlantic cooperation in the field of environmental mapping technologies, a powerful pattern recognition programme developed by researchers at the JRC is being adopted by specialists in a number of U.S. federal agencies including the U.S. Department for Agriculture’s Forest Service and the Environmental Protection Agency (EPA).
The computer programme is based on a system known as Morphological Spatial Pattern Analysis (MSPA) and works by following a customised sequence of image processing steps. Its purpose is to detect and highlight the different geometric features of objects within a given image, e.g., recognising various types of geographical land-cover features.
It was developed by Peter Vogt and Pierre Soille of the Joint Research Centre's Institute for Environment and Sustainability (IES).
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The JRC collaborates with a number of American scientific and R&D-related organisations and is currently participating in the annual meeting of the American Association for the Advancement of Science (AAAS) in Chicago, where it is presenting its work in a number of symposia on topics including nuclear energy, soil biodiversity, pre-implantation genetic diagnosis and nano-engineered food.