title: ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ»Ð¸ÑÐ½Ð¸Ñ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð² Ð¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐµÐ»ÐµÐ¹ Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð·Ð¾Ð½Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸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: Investigation of methods for merging multiple sources and target detection in remote sensing images
Creators: name: Ð¡ÑÐ½ ÐÐ¸Ð½Ñ ÑÑÐ¹
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Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¾Ð´Ð¸Ð½Ð¾ÑÐ½Ð¾Ð¹ ÑÐµÐ»Ð¸
ÐºÐ¾Ð¼Ð±Ð¸Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ðµ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð¸Ð· Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð²
ÑÐµÐ³Ð¸ÑÑÑÐ°ÑÐ¸Ñ Ð¸Ð· Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð²
Ð¾Ð±Ð»ÐµÐ³ÑÐµÐ½Ð½ÑÐ¹ ÑÐµÑÐµÐ²Ð¾Ð¹ Ð´Ð¸Ð·Ð°Ð¹Ð½
single target detection
combined detection from multiple sources
registration from multiple sources
lightweight network design

description: Ð£ÑÑÐµÐ½Ñ ÑÐµÑÐ¼Ð¸Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐµÐ´Ð¼ÐµÑÐ½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐµ ÑÑÐµÐ´ÑÑÐ²Ð° Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñ. ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¾ ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ðµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾-Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Python. Ð­ÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐ¹ÑÐµ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð·Ð¾Ð½Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸Ð· Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð² Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¿Ð¾Ð»ÑÑÐ°ÐµÐ¼ÑÑ ÑÐµÐ»ÐµÐ²ÑÑ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº. Ð§ÑÐ¾Ð±Ñ Ð¿ÑÐµÐ¾Ð´Ð¾Ð»ÐµÑÑ ÑÑÑÐ´Ð½Ð¾ÑÑÐ¸,ÑÐ²ÑÐ·Ð°Ð½Ð½ÑÐµ Ñ Ð¼ÐµÐ·Ð¾Ð¼Ð°ÑÑÑÐ°Ð±Ð½ÑÐ¼ ÑÐ°Ð·Ð½Ð¾Ð¾Ð±ÑÐ°Ð·Ð¸ÐµÐ¼ Ð¸ Ð¼Ð°Ð»ÑÐ¼Ð¸ ÑÐµÐ»ÑÐ¼Ð¸ Ð¿ÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ð¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð·Ð¾Ð½Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ, ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð½Ð¾Ð²ÑÐ¹ ÑÐ¸Ð¿ ÑÐµÑÐ¸ Ð¿Ð¸ÑÐ°Ð¼Ð¸Ð´Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÑÑÑÐºÑÑÑÑ ARSF. Ð§ÑÐ¾Ð±Ñ Ð² Ð¿Ð¾Ð»Ð½Ð¾Ð¹ Ð¼ÐµÑÐµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ ÐºÑÐ¾ÑÑÐ¼Ð¾Ð´Ð°Ð»ÑÐ½ÑÑ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð¼ÐµÐ¶Ð´Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÐ¼Ð¸ Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð·Ð¾Ð½Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸Ð· Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¸Ñ Ð¸ÑÑÐ¾ÑÐ½Ð¸ÐºÐ¾Ð², ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¼ÐµÑÐ¾Ð´ Ð±ÑÑÑÑÐ¾Ð³Ð¾ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ ÑÐ»Ð¸ÑÐ½Ð¸Ñ Ð½Ð° ÑÑÐ¾Ð²Ð½Ðµ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ñ, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð½Ð° DDIOU Ð¸ ÑÐµÐ¾ÑÐ¸Ð¸ Ð²Ð·Ð²ÐµÑÐµÐ½Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ D-S. ÐÐ¾Ð¼Ð±Ð¸Ð½Ð°ÑÐ¸Ñ Ð°Ð´Ð°Ð¿ÑÐ¸Ð²Ð½ÑÑ ÑÑÐ½ÐºÑÐ¸Ð¹ Ð¸ Ð¼Ð½Ð¾Ð³Ð¾Ð¼Ð°ÑÑÑÐ°Ð±Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ Ð´Ð»Ñ Ð¿Ð¾Ð»Ð½Ð¾Ð³Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð¸ Ð¿ÑÐ¾ÑÑÑÐ°Ð½ÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð´Ð»Ñ ÑÐ»ÑÑÑÐµÐ½Ð¸Ñ ÐºÐ¾Ð½ÐµÑÐ½Ð¾Ð¹ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð´ÐµÑÐµÐºÑÐ¾ÑÐ°.
description: The terminological features of the subject area are taken into account and software tools are used to solve problems. Specialized Python software and mathematical software has been applied. Effectively use the information of remote sensing images from several sources to increase the accuracy of the obtained target characteristics. In order to overcome the difficulties associated with mesoscale diversity and small targets when detected by remote sensing, a new type of ARSF pyramid structure network has been developed. In order to make full use of cross-modal information between remote sensing images from multiple sources, a method for rapid fusion detection at the decision-making level based on DDIOU and the theory of weighted D-S data has been developed. A combination of adaptive functions and multiscale detection methods are used to fully utilize semantic and spatial information to improve the ultimate detector performance.