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 …

[HTML][HTML] A review of road extraction from remote sensing images

W Wang, N Yang, Y Zhang, F Wang, T Cao… - Journal of traffic and …, 2016 - Elsevier
As a significant role for traffic management, city planning, road monitoring, GPS navigation
and map updating, the technology of road extraction from a remote sensing (RS) image has …

Detecting text in natural scenes with stroke width transform

B Epshtein, E Ofek, Y Wexler - 2010 IEEE computer society …, 2010 - ieeexplore.ieee.org
We present a novel image operator that seeks to find the value of stroke width for each
image pixel, and demonstrate its use on the task of text detection in natural images. The …

Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping

S Crommelinck, R Bennett, M Gerke, F Nex, MY Yang… - Remote Sensing, 2016 - mdpi.com
Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral mapping: high …

C-UNet: Complement UNet for remote sensing road extraction

Y Hou, Z Liu, T Zhang, Y Li - Sensors, 2021 - mdpi.com
Roads are important mode of transportation, which are very convenient for people's daily
work and life. However, it is challenging to accuratly extract road information from a 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 …

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 …

NIGAN: A framework for mountain road extraction integrating remote sensing road-scene neighborhood probability enhancements and improved conditional …

W Chen, G Zhou, Z Liu, X Li, X Zheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mountain roads are a source of important basic geographic data used in various fields. The
automatic extraction of road images through high-resolution remote sensing imagery using …

Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features

J Inglada - ISPRS journal of photogrammetry and remote sensing, 2007 - Elsevier
With the advent of Earth Observation satellite sensors producing images in the visible
wavelengths with resolutions better than 5 m, it is now possible to recognize man-made …

Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery. Case study: Suoimuoi tropical karst catchment, Vietnam

LQ Hung, O Batelaan… - Remote sensing for …, 2005 - spiedigitallibrary.org
Vast areas of the world consist of hard rocks (basement complexes), where water is
restricted to secondary permeability, and thus to the fractures and the weathered zones. As …