An improved InSAR image registration algorithm

A novel method is proposed as coarse coregistration, part of InSAR image registration. Edge detection of sar image is processed and control point selection is done subsequently. Then, control points selected in two images are matched and filtered using R-RANSAC method, so as to form tie points. From...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Sun Wenchang, Song Jianshe, Gu Xiaofei, Zhang Lin
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 525
container_issue
container_start_page 522
container_title
container_volume 2
creator Sun Wenchang
Song Jianshe
Gu Xiaofei
Zhang Lin
description A novel method is proposed as coarse coregistration, part of InSAR image registration. Edge detection of sar image is processed and control point selection is done subsequently. Then, control points selected in two images are matched and filtered using R-RANSAC method, so as to form tie points. From the tie points, warp function parameters are estimated, and coarse coregistration is finished. Based on coarse coregistration, fine coregistration can be carried out by performing correlation method on oversampled images. Experiments prove that the method is suitable for InSAR, and may enhance the coregistration procedure.
doi_str_mv 10.1109/ICINDMA.2010.5538256
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5538256</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5538256</ieee_id><sourcerecordid>5538256</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-46fc6433e485117db3c9bbcee53c41dab4687c661a88544710d92fd0cd09cc93</originalsourceid><addsrcrecordid>eNpFj9FKwzAYhSMiqHNPoBd9gdY_yZ80uSxVZ2Fu4LwfaZLWyNaOtAi-vQEHnpvDOReH7xDyQKGgFPRjUzebp7eqYJAaIbhiQl6QW4oMsZRCwOV_4HhNltP0BUkomES4IUU1ZOF4iuO3d1kz7Kr3FE3vs-j7MM3RzGEcMnPoxxjmz-MduerMYfLLsy_I7uX5o37N19tVU1frPGiYc5Sdlci5RyUoLV3LrW5b673gFqkzLUpVWimpUUokNApOs86BdaCt1XxB7v9Wg_d-f4qJKP7sz-_4L0A_Qyg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>An improved InSAR image registration algorithm</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Sun Wenchang ; Song Jianshe ; Gu Xiaofei ; Zhang Lin</creator><creatorcontrib>Sun Wenchang ; Song Jianshe ; Gu Xiaofei ; Zhang Lin</creatorcontrib><description>A novel method is proposed as coarse coregistration, part of InSAR image registration. Edge detection of sar image is processed and control point selection is done subsequently. Then, control points selected in two images are matched and filtered using R-RANSAC method, so as to form tie points. From the tie points, warp function parameters are estimated, and coarse coregistration is finished. Based on coarse coregistration, fine coregistration can be carried out by performing correlation method on oversampled images. Experiments prove that the method is suitable for InSAR, and may enhance the coregistration procedure.</description><identifier>ISBN: 1424476534</identifier><identifier>ISBN: 9781424476534</identifier><identifier>EISBN: 1424476550</identifier><identifier>EISBN: 9781424476558</identifier><identifier>EISBN: 1424476569</identifier><identifier>EISBN: 9781424476565</identifier><identifier>DOI: 10.1109/ICINDMA.2010.5538256</identifier><language>eng</language><publisher>IEEE</publisher><subject>corner detection ; Correlation ; Detectors ; edge detection ; Image edge detection ; Image registration ; InSAR ; Interference ; Matched filters ; Object detection ; Parameter estimation ; Process control ; R-RANSAC ; Synthetic aperture radar interferometry</subject><ispartof>2010 The 2nd International Conference on Industrial Mechatronics and Automation, 2010, Vol.2, p.522-525</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5538256$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5538256$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sun Wenchang</creatorcontrib><creatorcontrib>Song Jianshe</creatorcontrib><creatorcontrib>Gu Xiaofei</creatorcontrib><creatorcontrib>Zhang Lin</creatorcontrib><title>An improved InSAR image registration algorithm</title><title>2010 The 2nd International Conference on Industrial Mechatronics and Automation</title><addtitle>ICINDMA</addtitle><description>A novel method is proposed as coarse coregistration, part of InSAR image registration. Edge detection of sar image is processed and control point selection is done subsequently. Then, control points selected in two images are matched and filtered using R-RANSAC method, so as to form tie points. From the tie points, warp function parameters are estimated, and coarse coregistration is finished. Based on coarse coregistration, fine coregistration can be carried out by performing correlation method on oversampled images. Experiments prove that the method is suitable for InSAR, and may enhance the coregistration procedure.</description><subject>corner detection</subject><subject>Correlation</subject><subject>Detectors</subject><subject>edge detection</subject><subject>Image edge detection</subject><subject>Image registration</subject><subject>InSAR</subject><subject>Interference</subject><subject>Matched filters</subject><subject>Object detection</subject><subject>Parameter estimation</subject><subject>Process control</subject><subject>R-RANSAC</subject><subject>Synthetic aperture radar interferometry</subject><isbn>1424476534</isbn><isbn>9781424476534</isbn><isbn>1424476550</isbn><isbn>9781424476558</isbn><isbn>1424476569</isbn><isbn>9781424476565</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj9FKwzAYhSMiqHNPoBd9gdY_yZ80uSxVZ2Fu4LwfaZLWyNaOtAi-vQEHnpvDOReH7xDyQKGgFPRjUzebp7eqYJAaIbhiQl6QW4oMsZRCwOV_4HhNltP0BUkomES4IUU1ZOF4iuO3d1kz7Kr3FE3vs-j7MM3RzGEcMnPoxxjmz-MduerMYfLLsy_I7uX5o37N19tVU1frPGiYc5Sdlci5RyUoLV3LrW5b673gFqkzLUpVWimpUUokNApOs86BdaCt1XxB7v9Wg_d-f4qJKP7sz-_4L0A_Qyg</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Sun Wenchang</creator><creator>Song Jianshe</creator><creator>Gu Xiaofei</creator><creator>Zhang Lin</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201005</creationdate><title>An improved InSAR image registration algorithm</title><author>Sun Wenchang ; Song Jianshe ; Gu Xiaofei ; Zhang Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-46fc6433e485117db3c9bbcee53c41dab4687c661a88544710d92fd0cd09cc93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>corner detection</topic><topic>Correlation</topic><topic>Detectors</topic><topic>edge detection</topic><topic>Image edge detection</topic><topic>Image registration</topic><topic>InSAR</topic><topic>Interference</topic><topic>Matched filters</topic><topic>Object detection</topic><topic>Parameter estimation</topic><topic>Process control</topic><topic>R-RANSAC</topic><topic>Synthetic aperture radar interferometry</topic><toplevel>online_resources</toplevel><creatorcontrib>Sun Wenchang</creatorcontrib><creatorcontrib>Song Jianshe</creatorcontrib><creatorcontrib>Gu Xiaofei</creatorcontrib><creatorcontrib>Zhang Lin</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sun Wenchang</au><au>Song Jianshe</au><au>Gu Xiaofei</au><au>Zhang Lin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An improved InSAR image registration algorithm</atitle><btitle>2010 The 2nd International Conference on Industrial Mechatronics and Automation</btitle><stitle>ICINDMA</stitle><date>2010-05</date><risdate>2010</risdate><volume>2</volume><spage>522</spage><epage>525</epage><pages>522-525</pages><isbn>1424476534</isbn><isbn>9781424476534</isbn><eisbn>1424476550</eisbn><eisbn>9781424476558</eisbn><eisbn>1424476569</eisbn><eisbn>9781424476565</eisbn><abstract>A novel method is proposed as coarse coregistration, part of InSAR image registration. Edge detection of sar image is processed and control point selection is done subsequently. Then, control points selected in two images are matched and filtered using R-RANSAC method, so as to form tie points. From the tie points, warp function parameters are estimated, and coarse coregistration is finished. Based on coarse coregistration, fine coregistration can be carried out by performing correlation method on oversampled images. Experiments prove that the method is suitable for InSAR, and may enhance the coregistration procedure.</abstract><pub>IEEE</pub><doi>10.1109/ICINDMA.2010.5538256</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1424476534
ispartof 2010 The 2nd International Conference on Industrial Mechatronics and Automation, 2010, Vol.2, p.522-525
issn
language eng
recordid cdi_ieee_primary_5538256
source IEEE Electronic Library (IEL) Conference Proceedings
subjects corner detection
Correlation
Detectors
edge detection
Image edge detection
Image registration
InSAR
Interference
Matched filters
Object detection
Parameter estimation
Process control
R-RANSAC
Synthetic aperture radar interferometry
title An improved InSAR image registration algorithm
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T05%3A01%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=An%20improved%20InSAR%20image%20registration%20algorithm&rft.btitle=2010%20The%202nd%20International%20Conference%20on%20Industrial%20Mechatronics%20and%20Automation&rft.au=Sun%20Wenchang&rft.date=2010-05&rft.volume=2&rft.spage=522&rft.epage=525&rft.pages=522-525&rft.isbn=1424476534&rft.isbn_list=9781424476534&rft_id=info:doi/10.1109/ICINDMA.2010.5538256&rft_dat=%3Cieee_6IE%3E5538256%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424476550&rft.eisbn_list=9781424476558&rft.eisbn_list=1424476569&rft.eisbn_list=9781424476565&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5538256&rfr_iscdi=true