A denoising method for pavement 3d data based on breakpoint interpolation and reference plane filtering
In order to meet the current pavement intelligent detection and feature parameter extraction requirements, a 3D pavement surface data denoising method based on breakpoint interpolation and reference plane filtering (BI-RPF) is proposed and demonstrated using 3D pavement data acquired by a laser-base...
Gespeichert in:
| Veröffentlicht in: | Multimedia tools and applications 2021-06, Vol.80 (14), p.20803-20819 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 20819 |
|---|---|
| container_issue | 14 |
| container_start_page | 20803 |
| container_title | Multimedia tools and applications |
| container_volume | 80 |
| creator | Hao, Xueli Sun, Zhaoyun Pei, Lili Li, Wei Geng, Fangyuan Shao, Nana |
| description | In order to meet the current pavement intelligent detection and feature parameter extraction requirements, a 3D pavement surface data denoising method based on breakpoint interpolation and reference plane filtering (BI-RPF) is proposed and demonstrated using 3D pavement data acquired by a laser-based 3D imaging system. First, the principal structure and major characteristics of 3D pavement data were analyzed. Next, the breakpoint interpolation method considering the relationship between ordinate and slope was proposed to complete the missing values from the original pavement data. Then, reference plane filtering based on the horizontal and longitudinal reference plane was realized so as to overcome the unevenness of the pavement. Finally, the filtering effectiveness of the proposed method was compared with that of the standard deviation filtering and median filtering methods. The results show that the proposed filtering method takes breakpoints and uneven road surface into account, which can provide more accurate 3D road surface data under more complex conditions. The algorithm provided a good denoising effect while retaining valid data describing the road surface morphology, which establishes a foundation of BI-RPF to 3D pavement reconstruction. |
| doi_str_mv | 10.1007/s11042-021-10508-9 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2531843681</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2531843681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-c9b80c50c6b2c68b0457e1cd8048be2db5b1306643425fd20c9cd809f01bb8da3</originalsourceid><addsrcrecordid>eNp9UEtPwzAMrhBIjMEf4BSJc8FOmjY9ThMvCYkLnKM83NGxNSXpkPj3ZAyJGwfLlr6H7a8oLhGuEaC5SYhQ8RI4lggSVNkeFTOUjSibhuNxnoWCspGAp8VZSmsArCWvZsVqwTwNoU_9sGJbmt6CZ12IbDSftKVhYsIzbybDrEnkWRiYjWTex9BnLBfFMWzM1GfADJ5F6ijS4IiNGzMQ6_pNpmTv8-KkM5tEF799Xrze3b4sH8qn5_vH5eKpdALbqXStVeAkuNpyVysLlWwInVdQKUvcW2lRQF1XouKy8xxcuwfbDtBa5Y2YF1cH3zGGjx2lSa_DLg55peZSoKpErTCz-IHlYkgpH63H2G9N_NIIeh-oPgSqc6D6J1DdZpE4iNK4_4jin_U_qm9R1Xlb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2531843681</pqid></control><display><type>article</type><title>A denoising method for pavement 3d data based on breakpoint interpolation and reference plane filtering</title><source>SpringerLink Journals - AutoHoldings</source><creator>Hao, Xueli ; Sun, Zhaoyun ; Pei, Lili ; Li, Wei ; Geng, Fangyuan ; Shao, Nana</creator><creatorcontrib>Hao, Xueli ; Sun, Zhaoyun ; Pei, Lili ; Li, Wei ; Geng, Fangyuan ; Shao, Nana</creatorcontrib><description>In order to meet the current pavement intelligent detection and feature parameter extraction requirements, a 3D pavement surface data denoising method based on breakpoint interpolation and reference plane filtering (BI-RPF) is proposed and demonstrated using 3D pavement data acquired by a laser-based 3D imaging system. First, the principal structure and major characteristics of 3D pavement data were analyzed. Next, the breakpoint interpolation method considering the relationship between ordinate and slope was proposed to complete the missing values from the original pavement data. Then, reference plane filtering based on the horizontal and longitudinal reference plane was realized so as to overcome the unevenness of the pavement. Finally, the filtering effectiveness of the proposed method was compared with that of the standard deviation filtering and median filtering methods. The results show that the proposed filtering method takes breakpoints and uneven road surface into account, which can provide more accurate 3D road surface data under more complex conditions. The algorithm provided a good denoising effect while retaining valid data describing the road surface morphology, which establishes a foundation of BI-RPF to 3D pavement reconstruction.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-021-10508-9</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Cameras ; Computer Communication Networks ; Computer Science ; Cracks ; Data acquisition ; Data analysis ; Data collection ; Data Structures and Information Theory ; Dictionaries ; Feature extraction ; Filtration ; Image reconstruction ; Interpolation ; Laser applications ; Lasers ; Methods ; Morphology ; Multimedia ; Multimedia Information Systems ; Noise ; Noise reduction ; Pavements ; Road surface ; Special Purpose and Application-Based Systems ; Standard deviation ; Three dimensional imaging ; Unevenness ; Wavelet transforms</subject><ispartof>Multimedia tools and applications, 2021-06, Vol.80 (14), p.20803-20819</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-c9b80c50c6b2c68b0457e1cd8048be2db5b1306643425fd20c9cd809f01bb8da3</citedby><cites>FETCH-LOGICAL-c319t-c9b80c50c6b2c68b0457e1cd8048be2db5b1306643425fd20c9cd809f01bb8da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11042-021-10508-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-021-10508-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Hao, Xueli</creatorcontrib><creatorcontrib>Sun, Zhaoyun</creatorcontrib><creatorcontrib>Pei, Lili</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Geng, Fangyuan</creatorcontrib><creatorcontrib>Shao, Nana</creatorcontrib><title>A denoising method for pavement 3d data based on breakpoint interpolation and reference plane filtering</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>In order to meet the current pavement intelligent detection and feature parameter extraction requirements, a 3D pavement surface data denoising method based on breakpoint interpolation and reference plane filtering (BI-RPF) is proposed and demonstrated using 3D pavement data acquired by a laser-based 3D imaging system. First, the principal structure and major characteristics of 3D pavement data were analyzed. Next, the breakpoint interpolation method considering the relationship between ordinate and slope was proposed to complete the missing values from the original pavement data. Then, reference plane filtering based on the horizontal and longitudinal reference plane was realized so as to overcome the unevenness of the pavement. Finally, the filtering effectiveness of the proposed method was compared with that of the standard deviation filtering and median filtering methods. The results show that the proposed filtering method takes breakpoints and uneven road surface into account, which can provide more accurate 3D road surface data under more complex conditions. The algorithm provided a good denoising effect while retaining valid data describing the road surface morphology, which establishes a foundation of BI-RPF to 3D pavement reconstruction.</description><subject>Algorithms</subject><subject>Cameras</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Cracks</subject><subject>Data acquisition</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Data Structures and Information Theory</subject><subject>Dictionaries</subject><subject>Feature extraction</subject><subject>Filtration</subject><subject>Image reconstruction</subject><subject>Interpolation</subject><subject>Laser applications</subject><subject>Lasers</subject><subject>Methods</subject><subject>Morphology</subject><subject>Multimedia</subject><subject>Multimedia Information Systems</subject><subject>Noise</subject><subject>Noise reduction</subject><subject>Pavements</subject><subject>Road surface</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Standard deviation</subject><subject>Three dimensional imaging</subject><subject>Unevenness</subject><subject>Wavelet transforms</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9UEtPwzAMrhBIjMEf4BSJc8FOmjY9ThMvCYkLnKM83NGxNSXpkPj3ZAyJGwfLlr6H7a8oLhGuEaC5SYhQ8RI4lggSVNkeFTOUjSibhuNxnoWCspGAp8VZSmsArCWvZsVqwTwNoU_9sGJbmt6CZ12IbDSftKVhYsIzbybDrEnkWRiYjWTex9BnLBfFMWzM1GfADJ5F6ijS4IiNGzMQ6_pNpmTv8-KkM5tEF799Xrze3b4sH8qn5_vH5eKpdALbqXStVeAkuNpyVysLlWwInVdQKUvcW2lRQF1XouKy8xxcuwfbDtBa5Y2YF1cH3zGGjx2lSa_DLg55peZSoKpErTCz-IHlYkgpH63H2G9N_NIIeh-oPgSqc6D6J1DdZpE4iNK4_4jin_U_qm9R1Xlb</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Hao, Xueli</creator><creator>Sun, Zhaoyun</creator><creator>Pei, Lili</creator><creator>Li, Wei</creator><creator>Geng, Fangyuan</creator><creator>Shao, Nana</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20210601</creationdate><title>A denoising method for pavement 3d data based on breakpoint interpolation and reference plane filtering</title><author>Hao, Xueli ; Sun, Zhaoyun ; Pei, Lili ; Li, Wei ; Geng, Fangyuan ; Shao, Nana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-c9b80c50c6b2c68b0457e1cd8048be2db5b1306643425fd20c9cd809f01bb8da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Cameras</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Cracks</topic><topic>Data acquisition</topic><topic>Data analysis</topic><topic>Data collection</topic><topic>Data Structures and Information Theory</topic><topic>Dictionaries</topic><topic>Feature extraction</topic><topic>Filtration</topic><topic>Image reconstruction</topic><topic>Interpolation</topic><topic>Laser applications</topic><topic>Lasers</topic><topic>Methods</topic><topic>Morphology</topic><topic>Multimedia</topic><topic>Multimedia Information Systems</topic><topic>Noise</topic><topic>Noise reduction</topic><topic>Pavements</topic><topic>Road surface</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Standard deviation</topic><topic>Three dimensional imaging</topic><topic>Unevenness</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hao, Xueli</creatorcontrib><creatorcontrib>Sun, Zhaoyun</creatorcontrib><creatorcontrib>Pei, Lili</creatorcontrib><creatorcontrib>Li, Wei</creatorcontrib><creatorcontrib>Geng, Fangyuan</creatorcontrib><creatorcontrib>Shao, Nana</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hao, Xueli</au><au>Sun, Zhaoyun</au><au>Pei, Lili</au><au>Li, Wei</au><au>Geng, Fangyuan</au><au>Shao, Nana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A denoising method for pavement 3d data based on breakpoint interpolation and reference plane filtering</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>80</volume><issue>14</issue><spage>20803</spage><epage>20819</epage><pages>20803-20819</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>In order to meet the current pavement intelligent detection and feature parameter extraction requirements, a 3D pavement surface data denoising method based on breakpoint interpolation and reference plane filtering (BI-RPF) is proposed and demonstrated using 3D pavement data acquired by a laser-based 3D imaging system. First, the principal structure and major characteristics of 3D pavement data were analyzed. Next, the breakpoint interpolation method considering the relationship between ordinate and slope was proposed to complete the missing values from the original pavement data. Then, reference plane filtering based on the horizontal and longitudinal reference plane was realized so as to overcome the unevenness of the pavement. Finally, the filtering effectiveness of the proposed method was compared with that of the standard deviation filtering and median filtering methods. The results show that the proposed filtering method takes breakpoints and uneven road surface into account, which can provide more accurate 3D road surface data under more complex conditions. The algorithm provided a good denoising effect while retaining valid data describing the road surface morphology, which establishes a foundation of BI-RPF to 3D pavement reconstruction.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-021-10508-9</doi><tpages>17</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1380-7501 |
| ispartof | Multimedia tools and applications, 2021-06, Vol.80 (14), p.20803-20819 |
| issn | 1380-7501 1573-7721 |
| language | eng |
| recordid | cdi_proquest_journals_2531843681 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Algorithms Cameras Computer Communication Networks Computer Science Cracks Data acquisition Data analysis Data collection Data Structures and Information Theory Dictionaries Feature extraction Filtration Image reconstruction Interpolation Laser applications Lasers Methods Morphology Multimedia Multimedia Information Systems Noise Noise reduction Pavements Road surface Special Purpose and Application-Based Systems Standard deviation Three dimensional imaging Unevenness Wavelet transforms |
| title | A denoising method for pavement 3d data based on breakpoint interpolation and reference plane filtering |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T05%3A49%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20denoising%20method%20for%20pavement%203d%20data%20based%20on%20breakpoint%20interpolation%20and%20reference%20plane%20filtering&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=Hao,%20Xueli&rft.date=2021-06-01&rft.volume=80&rft.issue=14&rft.spage=20803&rft.epage=20819&rft.pages=20803-20819&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-021-10508-9&rft_dat=%3Cproquest_cross%3E2531843681%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2531843681&rft_id=info:pmid/&rfr_iscdi=true |