Exploiting IKONOS and Hyperion data fusion for automated road extraction

We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial informati...

Full description

Saved in:
Bibliographic Details
Published in:Geocarto international 2010-04, Vol.25 (2), p.123-131
Main Authors: Tiwari, Poonam S., Pande, Hina, Aye, Mya Nan
Format: Article
Language:English
Subjects:
hyperspectral image
image fusion: automatic road extraction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3
cites cdi_FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3
container_end_page 131
container_issue 2
container_start_page 123
container_title Geocarto international
container_volume 25
creator Tiwari, Poonam S.
Pande, Hina
Aye, Mya Nan
description We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial information. IKONOS (MSS) and Hyperion images were fused using the principal component analysis (PCA) method. The approach for road extraction integrates multiresolution segmentation and object oriented classification. Road extraction is done from an IKONOS (MSS) image and a Hyperion and IKONOS (MSS) merged image and comparisons are made depending on accuracy and quality measures such as completeness and correctness. This article also emphasises the types of roads which are giving better accuracy of extraction after fusion with hyperspectral image. This can vary because of types of material and condition of roads. The methodology was applied on roads of Dehradun, India.
doi_str_mv 10.1080/10106040903180485
format article
fullrecord <record><control><sourceid>crossref_infor</sourceid><recordid>TN_cdi_crossref_primary_10_1080_10106040903180485</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1080_10106040903180485</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoWKs_wFv-wOqkyW424EVKtcViD-o5zOZDVrabkk2x_fem1FtBT_PAO8_AvITcMrhjUMM9AwYVCFDAWQ2iLs_IiMlyUoCsJueZc17kBXVJrobhC4DLuuIjMp_tNl1oU9t_0sXL6nX1RrG3dL7fuNiGnlpMSP12OLAPkeI2hTUmZ2kMaKnbpYgm5fSaXHjsBnfzO8fk42n2Pp0Xy9XzYvq4LAwXVSpQleCUbAxUpffGSN-IunEeS47oMkrBfCkrxpFLK5RkzEvrGqEQvHKWjwk73jUxDEN0Xm9iu8a41wz0oQp9UkV2Ho5O2-cf1vgdYmd1wn0Xoo_Ym3bQ_C9d_qufWDrtEv8B1C13Cg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Exploiting IKONOS and Hyperion data fusion for automated road extraction</title><source>Taylor and Francis Science and Technology Collection</source><creator>Tiwari, Poonam S. ; Pande, Hina ; Aye, Mya Nan</creator><creatorcontrib>Tiwari, Poonam S. ; Pande, Hina ; Aye, Mya Nan</creatorcontrib><description>We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial information. IKONOS (MSS) and Hyperion images were fused using the principal component analysis (PCA) method. The approach for road extraction integrates multiresolution segmentation and object oriented classification. Road extraction is done from an IKONOS (MSS) image and a Hyperion and IKONOS (MSS) merged image and comparisons are made depending on accuracy and quality measures such as completeness and correctness. This article also emphasises the types of roads which are giving better accuracy of extraction after fusion with hyperspectral image. This can vary because of types of material and condition of roads. The methodology was applied on roads of Dehradun, India.</description><identifier>ISSN: 1010-6049</identifier><identifier>EISSN: 1752-0762</identifier><identifier>DOI: 10.1080/10106040903180485</identifier><language>eng</language><publisher>Taylor &amp; Francis</publisher><subject>hyperspectral image ; image fusion: automatic road extraction</subject><ispartof>Geocarto international, 2010-04, Vol.25 (2), p.123-131</ispartof><rights>Copyright Taylor &amp; Francis Group, LLC 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3</citedby><cites>FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Tiwari, Poonam S.</creatorcontrib><creatorcontrib>Pande, Hina</creatorcontrib><creatorcontrib>Aye, Mya Nan</creatorcontrib><title>Exploiting IKONOS and Hyperion data fusion for automated road extraction</title><title>Geocarto international</title><description>We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial information. IKONOS (MSS) and Hyperion images were fused using the principal component analysis (PCA) method. The approach for road extraction integrates multiresolution segmentation and object oriented classification. Road extraction is done from an IKONOS (MSS) image and a Hyperion and IKONOS (MSS) merged image and comparisons are made depending on accuracy and quality measures such as completeness and correctness. This article also emphasises the types of roads which are giving better accuracy of extraction after fusion with hyperspectral image. This can vary because of types of material and condition of roads. The methodology was applied on roads of Dehradun, India.</description><subject>hyperspectral image</subject><subject>image fusion: automatic road extraction</subject><issn>1010-6049</issn><issn>1752-0762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKs_wFv-wOqkyW424EVKtcViD-o5zOZDVrabkk2x_fem1FtBT_PAO8_AvITcMrhjUMM9AwYVCFDAWQ2iLs_IiMlyUoCsJueZc17kBXVJrobhC4DLuuIjMp_tNl1oU9t_0sXL6nX1RrG3dL7fuNiGnlpMSP12OLAPkeI2hTUmZ2kMaKnbpYgm5fSaXHjsBnfzO8fk42n2Pp0Xy9XzYvq4LAwXVSpQleCUbAxUpffGSN-IunEeS47oMkrBfCkrxpFLK5RkzEvrGqEQvHKWjwk73jUxDEN0Xm9iu8a41wz0oQp9UkV2Ho5O2-cf1vgdYmd1wn0Xoo_Ym3bQ_C9d_qufWDrtEv8B1C13Cg</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Tiwari, Poonam S.</creator><creator>Pande, Hina</creator><creator>Aye, Mya Nan</creator><general>Taylor &amp; Francis</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201004</creationdate><title>Exploiting IKONOS and Hyperion data fusion for automated road extraction</title><author>Tiwari, Poonam S. ; Pande, Hina ; Aye, Mya Nan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>hyperspectral image</topic><topic>image fusion: automatic road extraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tiwari, Poonam S.</creatorcontrib><creatorcontrib>Pande, Hina</creatorcontrib><creatorcontrib>Aye, Mya Nan</creatorcontrib><collection>CrossRef</collection><jtitle>Geocarto international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tiwari, Poonam S.</au><au>Pande, Hina</au><au>Aye, Mya Nan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploiting IKONOS and Hyperion data fusion for automated road extraction</atitle><jtitle>Geocarto international</jtitle><date>2010-04</date><risdate>2010</risdate><volume>25</volume><issue>2</issue><spage>123</spage><epage>131</epage><pages>123-131</pages><issn>1010-6049</issn><eissn>1752-0762</eissn><abstract>We present here the examples that show how fusing data from hyperspectral sensors with data from high spatial resolution sensors can enhance overall road detection accuracy. The fusion of hyperspectral and high spatial resolution data combines their superior respective spectral and spatial information. IKONOS (MSS) and Hyperion images were fused using the principal component analysis (PCA) method. The approach for road extraction integrates multiresolution segmentation and object oriented classification. Road extraction is done from an IKONOS (MSS) image and a Hyperion and IKONOS (MSS) merged image and comparisons are made depending on accuracy and quality measures such as completeness and correctness. This article also emphasises the types of roads which are giving better accuracy of extraction after fusion with hyperspectral image. This can vary because of types of material and condition of roads. The methodology was applied on roads of Dehradun, India.</abstract><pub>Taylor &amp; Francis</pub><doi>10.1080/10106040903180485</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1010-6049
ispartof Geocarto international, 2010-04, Vol.25 (2), p.123-131
issn 1010-6049
1752-0762
language eng
recordid cdi_crossref_primary_10_1080_10106040903180485
source Taylor and Francis Science and Technology Collection
subjects hyperspectral image
image fusion: automatic road extraction
title Exploiting IKONOS and Hyperion data fusion for automated road extraction
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T12%3A33%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploiting%20IKONOS%20and%20Hyperion%20data%20fusion%20for%20automated%20road%20extraction&rft.jtitle=Geocarto%20international&rft.au=Tiwari,%20Poonam%20S.&rft.date=2010-04&rft.volume=25&rft.issue=2&rft.spage=123&rft.epage=131&rft.pages=123-131&rft.issn=1010-6049&rft.eissn=1752-0762&rft_id=info:doi/10.1080/10106040903180485&rft_dat=%3Ccrossref_infor%3E10_1080_10106040903180485%3C/crossref_infor%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c346t-a950e97bc065ffcc7fb48befa53aae48b741f57613a37d49711f7deb49a0f9ed3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true