title: ÐÐ¾Ð²ÑÑÐµÐ½Ð¸Ðµ Ð´ÐµÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¼Ð°Ð»Ð¾ÑÐ°Ð·Ð¼ÐµÑÐ½ÑÑ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° Ð°ÑÑÐ¾ÑÐ¾ÑÐ¾ÑÐ½Ð¸Ð¼ÐºÐ°Ñ Ð¿ÑÐ¸ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÑÐ¿ÐµÑÑÐ°Ð·ÑÐµÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Increasing the detail of small-sized objects in aerial photographs using super-resolution methods
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ°ÑÐ¸Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¸ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ðµ
ÐÑÑÐ¾ÑÐ¾ÑÐ¾ÑÐ½Ð¸Ð¼ÐºÐ¸
ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ
ÑÑÐ¿ÐµÑ-ÑÐ°Ð·ÑÐµÑÐµÐ½Ð¸Ðµ
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¼Ð°Ð»Ð¾ÑÐ°Ð·Ð¼ÐµÑÐ½ÑÐµ Ð¾Ð±ÑÐµÐºÑÑ
Ð¼ÐµÑÑÐ¸ÐºÐ¸ Ð¾ÑÐµÐ½ÐºÐ¸ ÐºÐ°ÑÐµÑÑÐ²Ð°
classical methods
super-resolution
deep learning
small objects
quality evaluation metric

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ°Ð·ÑÐµÑÐµÐ½Ð¸Ñ (Ð´ÐµÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸) Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð°ÑÑÐ¾ÑÐ¾ÑÐ¾ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² Ñ Ð°ÐºÑÐµÐ½ÑÐ¾Ð¼ Ð½Ð° ÑÐ°Ð±Ð¾ÑÑ Ñ Ð¼Ð°Ð»Ð¾ÑÐ°Ð·Ð¼ÐµÑÐ½ÑÐ¼Ð¸ Ð¾Ð±ÑÐµÐºÑÐ°Ð¼Ð¸. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÐºÐ°Ðº Ð±Ð°Ð·Ð¾Ð²ÑÐµ, ÑÐ°Ðº Ð¸ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐµÑÐµÐ½Ð¸Ñ. Ð ÑÐ°ÑÑÐ½Ð¾ÑÑÐ¸, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÑ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ð¹, Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÐºÐ¾ÑÐ¾ÑÑÑ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸Ð»Ð¸ÑÑ Ð²ÑÐµ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÑ, Ð¾Ð¿Ð¸ÑÐ°Ð½Ð½ÑÐµ Ð² Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ°Ð·ÑÐµÑÐµÐ½Ð¸Ñ Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½Ð¾ÑÑÐµÐ¹, Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¾ÑÑÐ°Ð½ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²ÐµÐ½Ð½Ð¾-Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸. ÐÐ¾Ð½ÐµÑÐ½ÑÐ¼ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ²Ð»ÑÑÑÑÑ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÑ Ñ Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÐ¾Ð¹ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° EDVR, Ð´Ð»Ñ ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ°Ð·ÑÐµÑÐµÐ½Ð¸Ñ Ð¼Ð°Ð»Ð¾ÑÐ°Ð·Ð¼ÐµÑÐ½ÑÑ Ð¾Ð±ÑÐµÐºÑÐ¾Ð². ÐÐ°Ðº ÑÐ»ÐµÐ´ÑÑÐ²Ð¸Ðµ, Ð² Ð·Ð°ÐºÐ»ÑÑÐ¸ÑÐµÐ»ÑÐ½ÑÑ Ð³Ð»Ð°Ð²Ð°Ñ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ Ð¿ÑÐ¾ÑÐµÑÑ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¾ÑÐ½Ð¾ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ Ð¾ÑÐ¸Ð³Ð¸Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ Ð¾ÑÑÐ°Ð»ÑÐ½ÑÑ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð².
description: This work is devoted to the study of the problem of increasing the resolution (detailing) of a video sequence of aerial photographs with an emphasis on working with small-sized objects. Both basic and modern methods of solution are considered. A software package was developed, with the use of which all the experiments described in this paper were carried out. The main ways of increasing the resolution of video sequences based on the preservation of space-time information are considered. The end result is experimentation with the architecture of the EDVR neural network method to improve the quality of resolution enhancement of small-sized objects. As a consequence, the final chapters discuss the learning process and analyze the results obtained in relation to the original implementation and other modern approaches.