Doctoral Schools WUT

Search Engine for Promoters and Research Areas

Wykaz obszarów badawczych związanych z tagiem Glebokie-uczenie-maszynowe:

# Obszar badawczy Dziedzina naukowa
1 The use of machine learning in the analysis and processing of remote sensing data, mainly optical and radar. In particular, the application of deep machine learning and transfer learning in selected areas related to computer vision. The main applications of the described processing and analysis are the classification of the content of satellite, aerial and terrestial imagery, as well as, in general, image recognition. The topi is related to the automation of remote sensing image processing, which is gaining importance with the development of remote sensing: an increase in the number of Earth observation satellites and of image data itself, as well as the increasing use of image data in various types of decision-making processes, analysis of time changes, climate monitoring, etc.
2 Using deep machine learning to segment and classify landforms on Mars. The research will use satellite imagery and imagery from different generations of Mars rovers. The result of the work will be the development of a methodology for multi-resolution classification of geomorphological formations on Mars.