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Earlier, we reported on the first steps in the development of an artificial neural network in the processing of GPR data obtained from extended road network objects. Today we want to present an intermediate result - this is already a solution to the problem that we set for ourselves, but at the same time, further steps and prospects for the industry are obvious
Today, the GPR method is increasingly credible due to the mass of examples of positive experience. Solving problems using GPR becomes easier, cheaper and more efficient
Processing of GPR data using artificial intelligence technologies
After collecting GPR data, they are processed - bringing the radarograms to the maximum readable state in order to solve the project's tasks
Let's talk in more detail about the amplification and filtering functions implemented in GeoReader Software
Introducing the current results of the "PARTICULARLY THE USE OF GPR" poll
see information, write questions, suggestions to email@example.com
"As applied to highways, the automation of processing GPR data will help solve a global problem - processing large amounts of information, the collection of which is inevitably associated with GPR survey of extended linear objects..."
GeoReader & Мир Дорог (World of Roads, Issue 131)
Romanov D.B. (Head of NPO Terrazond) notes the use of the GeoReader Software package in the article "Application of the common midpoint method in multichannel GPR"