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 …
Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping
Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral mapping: high …
acquisition system that appears feasible for application in cadastral mapping: high …
State of the art on automatic road extraction for GIS update: a novel classification
JB Mena - Pattern recognition letters, 2003 - Elsevier
This paper surveys the state of the art on automatic road extraction for GIS update from
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …
Automatic object extraction from aerial imagery—a survey focusing on buildings
H Mayer - Computer vision and image understanding, 1999 - Elsevier
This paper surveys the state-of-the-art automatic object extraction techniques from aerial
imagery. It focuses on building extraction approaches, which present the majority of the work …
imagery. It focuses on building extraction approaches, which present the majority of the work …
Use of salient features for the design of a multistage framework to extract roads from high-resolution multispectral satellite images
S Das, TT Mirnalinee… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
The process of road extraction from high-resolution satellite images is complex, and most
researchers have shown results on a few selected set of images. Based on the satellite data …
researchers have shown results on a few selected set of images. Based on the satellite data …
Extracting roads from dense point clouds in large scale urban environment
A Boyko, T Funkhouser - ISPRS Journal of Photogrammetry and Remote …, 2011 - Elsevier
This paper describes a method for extracting roads from a large scale unstructured 3D point
cloud of an urban environment consisting of many superimposed scans taken at different …
cloud of an urban environment consisting of many superimposed scans taken at different …
A survey of digital earth
A Mahdavi-Amiri, T Alderson, F Samavati - Computers & Graphics, 2015 - Elsevier
The creation of a digital representation of the Earth and its associated data is a complex and
difficult task. The incredible size of geospatial data and differences between data sets pose …
difficult task. The incredible size of geospatial data and differences between data sets pose …
Convolutional recurrent network for road boundary extraction
Creating high definition maps that contain precise information of static elements of the scene
is of utmost importance for enabling self driving cars to drive safely. In this paper, we tackle …
is of utmost importance for enabling self driving cars to drive safely. In this paper, we tackle …
Road curb extraction from mobile LiDAR point clouds
Automatic extraction of road curbs from uneven, unorganized, noisy, and massive 3-D point
clouds is a challenging task. Existing methods often project 3-D point clouds onto 2-D …
clouds is a challenging task. Existing methods often project 3-D point clouds onto 2-D …
Recovering line-networks in images by junction-point processes
The automatic extraction of line-networks from images is a well-known computer vision
issue. Appearance and shape considerations have been deeply explored in the literature to …
issue. Appearance and shape considerations have been deeply explored in the literature to …