title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð³ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð³Ð¸Ð±ÑÐ¸Ð´Ð½Ð¾Ð¹ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐÐÐ¡-Ð´Ð°Ð½Ð½ÑÑ Ð¸ ÑÐ¿ÑÑÐ½Ð¸ÐºÐ¾Ð²ÑÑ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð²
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a software module for road design based on hybrid processing of GIS data and satellite images
Creators: name: ÐÐ°ÑÐ¾Ð½ÑÐºÐ¾, Ð¯Ð½Ð°
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: QGIS
Python
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð´Ð¸ÑÑÐ°Ð½ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð·Ð¾Ð½Ð´Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÐÐµÐ¼Ð»Ð¸
Ð´Ð¾ÑÐ¾Ð³Ð¸
ÐºÐ¾ÑÐ¼Ð¸ÑÐµÑÐºÐ¸Ðµ ÑÐ½Ð¸Ð¼ÐºÐ¸
neural networks
earth remote sensing
roads
space images

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÑÑÐ¿Ð½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹, ÑÐµÑÐ°ÑÑÐ¸Ñ Ð·Ð°Ð´Ð°ÑÑ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð³, Ð¸Ñ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ñ Ð¸ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐºÐ¾Ð². Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ´ÐµÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¿Ð¾ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð´Ð¾ÑÐ¾Ð³ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÐºÐ¾ÑÐ¼Ð¸ÑÐµÑÐºÐ¸Ñ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð². ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ: 1. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼ Ð¸ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¸Ñ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐºÐ¾Ð² 2. Ð ÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð½Ð° ÑÐ½Ð¸Ð¼ÐºÐµ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ 3. ÐÐ±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐºÐ°ÑÑ Ð²ÑÑÐ¾Ñ Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸ÐµÐ¹ 4. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»Ñ Ð´Ð»Ñ Ð¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¼Ð°ÑÑÑÑÑÐ° Ð´Ð¾ÑÐ¾Ð³Ð¸ Ñ ÐÐÐ¡-Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐ°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÑÑÑ Ð»Ð°Ð½Ð´ÑÐ°ÑÑ. ÐÐ° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ Ð¼Ð¾Ð´ÑÐ»Ñ Ñ ÐÐÐ¡-Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð¾ Ð²ÑÑÐ¾ÑÐ°Ñ, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð±Ð»Ð°Ð³Ð¾Ð´Ð°ÑÑ ÐÐÐ¡ QGIS. Ð¢Ð°ÐºÐ¶Ðµ Ð¼Ð¾Ð´ÑÐ»Ñ Ð±ÑÐ» Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½ ÑÐµÑÑÐ°Ð¼Ð¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð¿ÑÐ¾Ð²ÐµÑÑÐ»Ð¸ Ð½Ð° ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ðµ ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸ÑÐ¼.
description: This work is devoted to the study of available solutions, solving the problem of road design, their comparison and highlighting shortcomings. In the course of the work, a module will be developed for designing roads using satellite images. Tasks that were solved during the work: 1. Study of existing systems and highlighting their shortcomings 2. Implementation of object detection in a picture using neural networks 3. Processing heightmaps with classification 4. Development of a module for designing the optimal road route with GIS data As a result of the work, a software module was developed that uses neural networks that classify the landscape. On the tongue Python programming module was developed with GIS elevation data obtained using the QGIS GIS. The module was also tested with tests that checked for compliance with the requirements.