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Detection and extraction of road networks from high resolution satellite images

R. Peteri, J. Celle, T. Ranchin
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)  
This article addresses the problem of road extraction from new high resolution satellite images.  ...  The proposed algorithm is divided in two sequential modules : a topologically correct graph of the road network is first extracted, and roads are then extracted as surface elements.  ...  After the intersection extraction Conclusion and future prospects This article describes a new method for extracting the road network from high resolution satellite images.  ... 
doi:10.1109/icip.2003.1246958 dblp:conf/icip/PeteriCR03 fatcat:ssblh744wfbetc7pso62cn5ymi

Automatic Extraction of Urban Road Centerlines from High-Resolution Satellite Imagery Using Automatic Thresholding and Morphological Operation Method

Abdur Raziq, Aigong Xu, Yu Li
2016 Journal of Geographic Information System  
The commercial high-resolution imaging satellite with 1 m spatial resolution IKONOS is an important data source of information for urban planning and geographical information system (GIS) applications.  ...  Based on this morphological method, an object extractor is designed to extract road networks from highly remote sensing images.  ...  Consequently, advanced methods are required to extract the road network from high-resolution satellite images, i.e. IKONOS and QuickBird.  ... 
doi:10.4236/jgis.2016.84043 fatcat:qxvblpunbfdixm6tdndghouaqe

The line segment match method for extracting road network from high-resolution satellite images

Wenzhong Shi, Changqing Zhu
2002 IEEE Transactions on Geoscience and Remote Sensing  
This paper presents an approach, with emphasis on the newly proposed line segment matching method, for extracting urban road networks from high-resolution satellite images.  ...  The approach is based on the characteristics of the images, knowledge about road networks, and the related mathematical models.  ...  Extraction of road network from high-resolution satellite images is becoming a new research focus.  ... 
doi:10.1109/36.992826 fatcat:gchy2yxzxbfkdlnxectur4a54m

A Review on Road Extraction based on Neural and Non-Neural Networks

D. Subhashini, MGIT
2020 International Journal of Engineering Research and  
With the development of remote sensing technology, the quality of high-resolution satellite images is improved and more easily obtained, which makes it possible to use remote sensing images to locate roads  ...  During satellite image processing, GIS (Geographic information system) plays a vital role with road extraction. Road is an important kind of basic geographic information.  ...  Extraction of Roads from High-Resolution Satellite Images with the Discrete Wavelet Transform by Tamer M.  ... 
doi:10.17577/ijertv9is061006 fatcat:vh25mlig3jh2bbebeb5zvbvcru

Roads Extraction from Satellite Images using Segmentation

Vijay Bhaskar J, Sheron Henry Christy, Hemaxi Nimavat K
2020 Figshare  
This paper is exploring by high resolution satellite images for detecting and extracting the road network in a strong model.  ...  for object detection and extraction from satellite images.  ...  METHODOLOGY In this paper, used method has been proposed for detecting and extracting the road network from high resolution satellite images.  ... 
doi:10.6084/m9.figshare.12310688.v1 fatcat:pe7qx3oexfdf3ksxas7fkdv7qm

Road Network Extraction from High Resolution Multispectral Satellite Imagery Based on Object Oriented Techniques

M. Kumar, R. K. Singh, P. L. N. Raju, Y. V. N. Krishnamurthy
2014 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
High Resolution satellite Imagery is an important source for road network extraction for urban road database creation, refinement and updating.  ...  In this paper we present an integrated approach to extract road network from high resolution space imagery.  ...  Mohammadzadeh, A. et. al (2008) carried out an approach to detect road network from high resolution image using combination of a developed fuzzy system and mathematical morphology.  ... 
doi:10.5194/isprsannals-ii-8-107-2014 fatcat:kwguwv35yzdgrguoocgxcobsjy


I. Kahraman, I. R. Karas, A. E. Akay
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In after days, performing a complex road extraction from a satellite image is still a necessary and important research topic.</p>  ...  </strong> The importance of analysis high resolution satellite imagery plays an important research topic for geographical information analysis of cities.  ...  Various road detecting approachs have been presented for road network extraction from high resolution satellite images.  ... 
doi:10.5194/isprs-archives-xlii-4-w9-339-2018 fatcat:5zr7b5mov5cpxpjmxjms54f5eu

Road Network Extraction Using Edge Detection and Spatial Voting

Beril Sirmacek, Cem Unsalan
2010 2010 20th International Conference on Pattern Recognition  
Road network detection from very high resolution satellite images is important for two main reasons. First, the detection result can be used in automated map making.  ...  We tested our method on various satellite images and provided the extracted road networks in the experiments section.  ...  Therefore, advanced methods are needed to extract the road network from very high resolution satellite images.  ... 
doi:10.1109/icpr.2010.762 dblp:conf/icpr/SirmacekU10 fatcat:y4q4hykn4zhtthusb4y4vxnq64

Road Detection from High Satellite Images Using Neural Networks

Idris Kahraman, Muhammed Kamil Turan, Ismail Rakip Karas
2015 International Journal of Modeling and Optimization  
In this paper, we propose a road detection model approach based on neural networks from satellite images.  ...  The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems.  ...  Using image processing for analyzing and extracting information from high resolution satellite imagery to create feature extraction.  ... 
doi:10.7763/ijmo.2015.v5.479 fatcat:ncv35elk5zeshpmbs2oog4nlk4

Automated Road Extraction From High Resolution Satellite Images

Jose Hormese, C. Saravanan
2016 Procedia Technology - Elsevier  
The work deals with extraction of roads from satellite images. This is a challenging domain compared to extraction from aerial images as satellite images are noisy and of lower resolution.  ...  The importance of road extraction from satellite images arises from the fact that it greatly enhances the efficiency of map generation and thus can be a big help in car navigations systems or any emergency  ...  Therefore, road network extraction from large scale images refers to reliable road surface detection which identifies road segments from the RS Images.  ... 
doi:10.1016/j.protcy.2016.05.180 fatcat:sgexlsghyngzrolnwweez7b3li

Review on Active and Passive Remote Sensing Techniques for Road Extraction

Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen (+1 others)
2021 Remote Sensing  
In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyperspectral images, synthetic aperture radar images  ...  Digital maps of road networks are a vital part of digital cities and intelligent transportation.  ...  Acknowledgments: The authors would like to thank the contributions of the editor and reviewers. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13214235 fatcat:iv4mot6n6vayhmnelwsz4okiym

Brightness Transformation and CNN-MRF Model for Road Network Extraction using RSI

Sadaf Jahan, Dr. Abhishek Bhatt
For effective urban planning and GIS database, it is necessary to extract effectively the network of road from remote sensing images.  ...  The very high spatial resolution images (VHR) taken by space and space probes are the main source of an accurate extraction of the route.  ...  [3] proposed a framework based on a convolutional neural network (CNN) for the extraction of the road network in high resolution radar images with synthetic aperture (SAR).  ... 
doi:10.24113/ijoscience.v6i2.267 fatcat:xib33uopyjbgte52hm5bgfr2ni

Automatic road network extraction using high resolution multi-temporal satellite images

Vinay Pandit, Sudhir Gupta, K.S. Rajan
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
This paper first proposes a simple scheme to detect vehicles using high resolution multi-temporal images of a geographic location and uses the detected road seeds in Fourier descriptor based road tracking  ...  Substantial amount of research has been carried out to extract road network from satellite imagery in the photogrammetric and computer vision communities.  ...  With the advent of high-resolution satellite images, there has been a resurgence of research interest in road extraction techniques.  ... 
doi:10.1109/igarss.2009.5417680 dblp:conf/igarss/PanditGR09 fatcat:hokjwzwu3nd7lbdoctaztzsp24

Automatic Traffic Monitoring from Satellite Images Using Artificial Immune System [chapter]

Mehrad Eslami, Karim Faez
2010 Lecture Notes in Computer Science  
vehicle targets from high resolution panchromatic satellite imagery.  ...  This article presents a new approach for recognizing the vehicle and the road in satellite high-resolution images in non-urban areas.  ...  Kuthadi Sumalatha, in his master's thesis "Detection of Objects from High-Resolution Satellite Images" has worked on road, vehicle and urban areas.  ... 
doi:10.1007/978-3-642-14980-1_16 fatcat:ghwour5pybcfzewk4urloa5guy

Road and Tunnel Extraction from SPOT Satellite Images Using Neural Networks

Nima Ghasemloo, Mohammad Reza Mobasheri, Ahmad Madanchi Zare, Mehran Memar Eftekhari
2013 Journal of Geographic Information System  
In this work, the extraction of roads from SPOT satellite images using artificial neural network has been studied.  ...  Road extraction from the satellite images can be used in producing road maps as well as managing and developing geospatial databases.  ...  Methodology Road Extraction from SPOT Image In order to extract road from satellite image, methods are usually depending upon the spatial resolution and sensor characteristics.  ... 
doi:10.4236/jgis.2013.51007 fatcat:dq2fkngv7rel3lupoa4h3aotnm
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