Restoration of the Lost Area of the Underlying Surface Image Using the Saliency Map
| Autor: | V. P. Fedosov, Samir R. Ibadov, Ragim R. Ibadov |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Surface (mathematics)
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (computer science) Image (mathematics) law.invention law Radar imaging Relevance (information retrieval) Computer vision Artificial intelligence Radar business Spatial analysis Surface reconstruction |
| Zdroj: | 2021 Radiation and Scattering of Electromagnetic Waves (RSEMW). |
| DOI: | 10.1109/rsemw52378.2021.9494112 |
| Popis: | The article presents the relevance of developing a method for recovering lost sections of the map of the underlying surface. The study aims to create a high-speed and highly efficient system for recovering the lost image area map of the underlying surface. The methods of modeling radar images are considered. The object of research are methods for constructing and restoring images of a map of the area. We consider spatial autocorrelation as image pre-processing for its subsequent analysis when restoring a part of the map in the direction of the radar carrier course. Imitation of visual attention is presented. The algorithm for recovering images of lost areas is investigated and its software implementation is developed. The effectiveness of the developed algorithm was evaluated on a test example using a statistical criterion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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