Road extraction methods in high-resolution remote sensing images: A comprehensive review
R Lian, W Wang, N Mustafa… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Road extraction from high-resolution remote sensing images is a challenging but hot
research topic in the past decades. A large number of methods are invented to deal with this …
research topic in the past decades. A large number of methods are invented to deal with this …
Remote sensing approaches for meteorological disaster monitoring: recent achievements and new challenges
P Ye - International Journal of Environmental Research and …, 2022 - mdpi.com
Meteorological disaster monitoring is an important research direction in remote sensing
technology in the field of meteorology, which can serve many meteorological disaster …
technology in the field of meteorology, which can serve many meteorological disaster …
Road networks as collections of minimum cost paths
We present a probabilistic representation of network structures in images. Our target
application is the extraction of urban roads from aerial images. Roads appear as thin …
application is the extraction of urban roads from aerial images. Roads appear as thin …
Water flow based geometric active deformable model for road network
S Leninisha, K Vani - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
A width and color based geometric active deformable model is proposed for road network
extraction from remote sensing images with minimal human interception. Orientation and …
extraction from remote sensing images with minimal human interception. Orientation and …
Complex mountain road extraction in high-resolution remote sensing images via a light roadformer and a new benchmark
Mountain roads are of great significance to traffic navigation and military road planning.
Extracting mountain roads based on high-resolution remote sensing images (HRSIs) is a hot …
Extracting mountain roads based on high-resolution remote sensing images (HRSIs) is a hot …
On detecting road regions in a single UAV image
Automatic detection of road regions in aerial images remains a challenging research topic.
Most existing approaches work well on the requirement of users to provide some seedlike …
Most existing approaches work well on the requirement of users to provide some seedlike …
Object-space road extraction in rural areas using stereoscopic aerial images
AP Dal Poz, RAB Gallis, JFC da Silva… - IEEE Geoscience and …, 2011 - ieeexplore.ieee.org
This letter proposes a semiautomatic method for 3-D road extraction in rural areas using
stereoscopic aerial images. A strategy based on the dynamic programming algorithm …
stereoscopic aerial images. A strategy based on the dynamic programming algorithm …
Rectilinear building roof contour extraction based on snakes and dynamic programming
AJ Fazan, AP Dal Poz - International journal of applied earth observation …, 2013 - Elsevier
This paper presents a method for extracting building roof contours from digital images
collected over urban landscapes. The proposed method utilizes an energy function based …
collected over urban landscapes. The proposed method utilizes an energy function based …
[HTML][HTML] Road network extraction using multi-layered filtering and tensor voting from aerial images
Road network extraction from high-resolution aerial images is a predominant research area
in remote sensing due to road network applications in various applications like …
in remote sensing due to road network applications in various applications like …
A general framework for 3-D parameters estimation of roads using GPS, OSM and DEM data
C Boucher, JC Noyer - Sensors, 2017 - mdpi.com
A growing number of applications needs GIS mapping information and commercial 3-D
roadmaps especially. This paper presents a solution of accessing freely to 3-D map …
roadmaps especially. This paper presents a solution of accessing freely to 3-D map …