Keywords: laboratory tests, combined images, interpolated images, detection time, probabilistic characteristics of detection, practical increase in information content
Evaluation of the Spatial Interpolation Efficiency in the Processing of Combined Different-Range Images
UDC 621.383
DOI: 10.26102/2310-6018/2022.36.1.014
The article shows the methodology and results of laboratory tests to determine the performance indicators of operators with combined multi-band images, namely, video and thermal images acquired from the same object at the same scale and with the same sweep parameters. The images were presented in two versions. In the first one, tests were carried out to detect specified objects in a combined image from video and thermal imaging cameras. In the second one, the same detection procedure was undertaken on interpolated images, when each pixel of the resulting image contained information from both sensors. The relevance of the work done lies in obtaining the probabilistic characteristics of a given object detection from simply superimposed images and images subjected to spatial interpolation, which confirms the increase in the information content of the interpolated images, but in practical terms. The tests were run with the involvement of a large number of operators, each of which worked with images only once. As a result of the tests, data were collected on the time of object detection by each operator and the probabilistic characteristics of detection were calculated. A comparative analysis of the findings was carried out in order to ascertain the efficiency of operations with interpolated and non-interpolated images. The sufficiency of the conducted experiments is proved.
Keywords: laboratory tests, combined images, interpolated images, detection time, probabilistic characteristics of detection, practical increase in information content
For citation: Vetrov A.N., Potlov A.Y. Evaluation of the Spatial Interpolation Efficiency in the Processing of Combined Different-Range Images. Modeling, Optimization and Information Technology. 2022;10(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1094 DOI: 10.26102/2310-6018/2022.36.1.014 (In Russ).
Received 25.11.2021
Revised 03.02.2022
Accepted 25.02.2022
Published 31.03.2022