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Road Network Extraction from High Resolution Multispectral Satellite Imagery Based on Object Oriented Techniques : Volume Ii-8, Issue 1 (27/11/2014)

By Kumar, M.

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Book Id: WPLBN0004014230
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: Road Network Extraction from High Resolution Multispectral Satellite Imagery Based on Object Oriented Techniques : Volume Ii-8, Issue 1 (27/11/2014)  
Author: Kumar, M.
Volume: Vol. II-8, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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N. Raj, P. L., Singh, R. K., N. Krishnamurth, Y. V., & Kumar, M. (2014). Road Network Extraction from High Resolution Multispectral Satellite Imagery Based on Object Oriented Techniques : Volume Ii-8, Issue 1 (27/11/2014). Retrieved from http://community.worldlibrary.net/


Description
Description: Indian Institute of Remote Sensing , Dehradun, India. High Resolution satellite Imagery is an important source for road network extraction for urban road database creation, refinement and updating. However due to complexity of the scene in an urban environment, automated extraction of such features using various line and edge detection algorithms is limited. In this paper we present an integrated approach to extract road network from high resolution space imagery. The proposed approach begins with segmentation of the scene with Multi-resolution Object Oriented segmentation. This step focuses on exploiting both spatial and spectral information for the target feature extraction. The road regions are automatically identified using a soft fuzzy classifier based on a set of predefined membership functions. A number of shape descriptors are computed to reduce the misclassifications between road and other spectrally similar objects. The detected road segments are further refined using morphological operations to form final road network, which is then evaluated for its completeness, correctness and quality. The experiments were carried out of fused IKONOS 2 , Quick bird ,Worldview 2 Products with fused resolution’s ranging from 0.5m to 1 m. Results indicate that the proposed methodology is effective in extracting accurate road networks from high resolution imagery.

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

 

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