FIELD: image processing.
SUBSTANCE: invention is related to a hardware and software complex designed for processing aerospace images of terrain. The complex contains a reference image preparation block, a detection and localization block, a definition and orientation block, a segmentation block, a classification block, and output of results, while the hardware platform contains a device that performs parallel vector and matrix multiplications during the operation of the algorithms, and the software part provides the ability to detect, localize and classify objects of interest on aerospace images having a linear object size of 10 to 20 pixels with a total image area of 20 million pixels or more; provides separate localization and classification of objects located in groups, while AutoML approaches are used to form an optimal neural network architecture, while the resulting neural network architecture makes it possible to reduce the computational complexity of the neural network while maintaining the target quality metric, with the ability to process more information per unit of time.
EFFECT: increase of accuracy of automatic detection and localization of objects of interest on large-format aerospace images in the visible range.
1 cl, 15 dwg
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Authors
Dates
2024-01-11—Published
2021-12-06—Filed