Road identification from high-precision images is important to programmed mapping, urban
planning, and updating geographic information system (GIS) databases. Manual …

A rising number of high-resolution photographs obtained using remote sensing are currently
available. However, extracting the necessary information from such a massive volume of …

В статье систематизирован опыт решения задачи транспортного моделирования
наземного доступа к лесным пожарам и ресурсам леса, представленный научными и …

Remote sensing image (RSI) scene classification has received growing attention from the
research community in recent days. Over the past few decades, with the rapid development …

Due to obstructions such as trees and buildings, single-modal satellite or aerial images are
insufficient for continuous high-precision representation of road features. To address this …

В статье представлен обзор около 60 научных публикаций, посвященных основным
методам и алгоритмам автоматизированной обработки космических снимков …

Abstract Remote Sensing Image (RSI) analysis has seen a massive increase in popularity
over the last few decades, due to the advancement of deep learning models. A wide variety …

Remote sensing image (RSI) scene classification has received growing attention from the
research community in recent days. Over the past few decades, with the rapid development …

Many modern systems use road detection methods. The proposed automatic method for
road detection consists of two steps. In the first step, the color segmentation in HSV color …

Extraction of roads from high resolution satellite images has an important role in such tasks
as urban planning, traffic management, navigation, map updating and etc. This paper …