Using a Binary Diffractive Optical Element to Increase the Imaging System Depth of Field in UAV Remote Sensing Tasks

Pavel G. Serafimovich, Alexey P. Dzyuba, Artem V. Nikonorov, Nikolay L. Kazanskiy

Abstract: Using an example of a real-world data set, it is shown that the accuracy of the image detector based on a YOLOv3 neural network does not deteriorate when using only one nonblurred color channel. The binary diffractive optical element was calculated, which allows increasing the imaging system depth of field by several times. This is achieved by using different color channels for various defocus values. A comparison of the MTF curves of the original and apodized imaging systems for a given minimum acceptable value of image contrast is presented. This approach allows us to create novel remote sensing imaging systems with an increased depth of field.