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...
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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 |
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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> |
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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 |
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