Loading…

Automated artifact-free seafloor surface reconstruction with two-step ODETLAP

We present an updated artifact-free seafloor surface reconstruction scheme which preserves more terrain features than our previous attempt using overdetermined Laplacian Partial Differential Equation (ODETLAP) and automates the adjustment of smoothing parameter. The high resolution version of such a...

Full description

Saved in:
Bibliographic Details
Published in:SIGSPATIAL Special 2012-11, Vol.4 (3), p.8-13
Main Authors: Lau, Tsz-Yam, Franklin, W. Randolph
Format: Article
Language:English
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-crossref_primary_10_1145_2429177_24291793
container_end_page 13
container_issue 3
container_start_page 8
container_title SIGSPATIAL Special
container_volume 4
creator Lau, Tsz-Yam
Franklin, W. Randolph
description We present an updated artifact-free seafloor surface reconstruction scheme which preserves more terrain features than our previous attempt using overdetermined Laplacian Partial Differential Equation (ODETLAP) and automates the adjustment of smoothing parameter. The high resolution version of such a surface fitting problem remains a challenge since we are still confined to extremely unevenly distributed depth samples collected along and near the ships, in which case numerous generic reconstruction algorithms generate unacceptable surfaces featuring abnormal depth fluctuations which are correlated with the trackline locations. Previously we reported the use a modified ODETLAP scheme, which integrates data-density-dependent smoothing into the reconstruction process, to generate surfaces which are free from such acquisition footprint. However, that scheme still suffers from terrain feature loss due to smoothing, and the reliance of human to decide appropriate smoothing factor. This paper aims to fix these two problems with a two-step ODETLAP procedure. The procedure first applies an accuracy-biased ODETLAP to complete the missing depth data from the given samples. After that, the vigorous depth fluctuations along the tracklines are removed by applying a smoothing-biased ODETLAP on the completed depth grid. To decide the optimal smoothing factor automatically, the procedure computes the areas of the individual bumps on the reconstructed surface. A surface suffering heavily from the artifacts has many small bumps but few big ones. Smoothing reduces such skewness. We find that for many datasets, the artifact is mostly gone when the coefficient of variation of the areas drops to around 1.3. Using that value to gauge the smoothing factor, the automated scheme successfully generates artifact-free seafloor surfaces within a limited error budget.
doi_str_mv 10.1145/2429177.2429179
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1145_2429177_2429179</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1145_2429177_2429179</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_1145_2429177_24291793</originalsourceid><addsrcrecordid>eNqVjrsKwkAQRRdRMD5q2_2BPDbm4ZaiEQtFC_uwxFmMqCszE8S_VzGFrdW5XDhwhJioKFAqScM4ibXK8-BL3RGe0knm53msuz-7LwZE5yjK0ng688R23rC7GoajNMi1NRX7FgEkgbEX51BSg-8XJELlbsTYVFy7m3zUfJL8cD4x3OVuWRw28_1I9Ky5EIxbDkW4Kg6LtV-hI0Kw5R3rq8FnqaLyU1221S319H_jBW8pSXU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Automated artifact-free seafloor surface reconstruction with two-step ODETLAP</title><source>Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list)</source><creator>Lau, Tsz-Yam ; Franklin, W. Randolph</creator><creatorcontrib>Lau, Tsz-Yam ; Franklin, W. Randolph</creatorcontrib><description>We present an updated artifact-free seafloor surface reconstruction scheme which preserves more terrain features than our previous attempt using overdetermined Laplacian Partial Differential Equation (ODETLAP) and automates the adjustment of smoothing parameter. The high resolution version of such a surface fitting problem remains a challenge since we are still confined to extremely unevenly distributed depth samples collected along and near the ships, in which case numerous generic reconstruction algorithms generate unacceptable surfaces featuring abnormal depth fluctuations which are correlated with the trackline locations. Previously we reported the use a modified ODETLAP scheme, which integrates data-density-dependent smoothing into the reconstruction process, to generate surfaces which are free from such acquisition footprint. However, that scheme still suffers from terrain feature loss due to smoothing, and the reliance of human to decide appropriate smoothing factor. This paper aims to fix these two problems with a two-step ODETLAP procedure. The procedure first applies an accuracy-biased ODETLAP to complete the missing depth data from the given samples. After that, the vigorous depth fluctuations along the tracklines are removed by applying a smoothing-biased ODETLAP on the completed depth grid. To decide the optimal smoothing factor automatically, the procedure computes the areas of the individual bumps on the reconstructed surface. A surface suffering heavily from the artifacts has many small bumps but few big ones. Smoothing reduces such skewness. We find that for many datasets, the artifact is mostly gone when the coefficient of variation of the areas drops to around 1.3. Using that value to gauge the smoothing factor, the automated scheme successfully generates artifact-free seafloor surfaces within a limited error budget.</description><identifier>ISSN: 1946-7729</identifier><identifier>EISSN: 1946-7729</identifier><identifier>DOI: 10.1145/2429177.2429179</identifier><language>eng</language><ispartof>SIGSPATIAL Special, 2012-11, Vol.4 (3), p.8-13</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-crossref_primary_10_1145_2429177_24291793</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Lau, Tsz-Yam</creatorcontrib><creatorcontrib>Franklin, W. Randolph</creatorcontrib><title>Automated artifact-free seafloor surface reconstruction with two-step ODETLAP</title><title>SIGSPATIAL Special</title><description>We present an updated artifact-free seafloor surface reconstruction scheme which preserves more terrain features than our previous attempt using overdetermined Laplacian Partial Differential Equation (ODETLAP) and automates the adjustment of smoothing parameter. The high resolution version of such a surface fitting problem remains a challenge since we are still confined to extremely unevenly distributed depth samples collected along and near the ships, in which case numerous generic reconstruction algorithms generate unacceptable surfaces featuring abnormal depth fluctuations which are correlated with the trackline locations. Previously we reported the use a modified ODETLAP scheme, which integrates data-density-dependent smoothing into the reconstruction process, to generate surfaces which are free from such acquisition footprint. However, that scheme still suffers from terrain feature loss due to smoothing, and the reliance of human to decide appropriate smoothing factor. This paper aims to fix these two problems with a two-step ODETLAP procedure. The procedure first applies an accuracy-biased ODETLAP to complete the missing depth data from the given samples. After that, the vigorous depth fluctuations along the tracklines are removed by applying a smoothing-biased ODETLAP on the completed depth grid. To decide the optimal smoothing factor automatically, the procedure computes the areas of the individual bumps on the reconstructed surface. A surface suffering heavily from the artifacts has many small bumps but few big ones. Smoothing reduces such skewness. We find that for many datasets, the artifact is mostly gone when the coefficient of variation of the areas drops to around 1.3. Using that value to gauge the smoothing factor, the automated scheme successfully generates artifact-free seafloor surfaces within a limited error budget.</description><issn>1946-7729</issn><issn>1946-7729</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqVjrsKwkAQRRdRMD5q2_2BPDbm4ZaiEQtFC_uwxFmMqCszE8S_VzGFrdW5XDhwhJioKFAqScM4ibXK8-BL3RGe0knm53msuz-7LwZE5yjK0ng688R23rC7GoajNMi1NRX7FgEkgbEX51BSg-8XJELlbsTYVFy7m3zUfJL8cD4x3OVuWRw28_1I9Ky5EIxbDkW4Kg6LtV-hI0Kw5R3rq8FnqaLyU1221S319H_jBW8pSXU</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Lau, Tsz-Yam</creator><creator>Franklin, W. Randolph</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201211</creationdate><title>Automated artifact-free seafloor surface reconstruction with two-step ODETLAP</title><author>Lau, Tsz-Yam ; Franklin, W. Randolph</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_1145_2429177_24291793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Lau, Tsz-Yam</creatorcontrib><creatorcontrib>Franklin, W. Randolph</creatorcontrib><collection>CrossRef</collection><jtitle>SIGSPATIAL Special</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lau, Tsz-Yam</au><au>Franklin, W. Randolph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated artifact-free seafloor surface reconstruction with two-step ODETLAP</atitle><jtitle>SIGSPATIAL Special</jtitle><date>2012-11</date><risdate>2012</risdate><volume>4</volume><issue>3</issue><spage>8</spage><epage>13</epage><pages>8-13</pages><issn>1946-7729</issn><eissn>1946-7729</eissn><abstract>We present an updated artifact-free seafloor surface reconstruction scheme which preserves more terrain features than our previous attempt using overdetermined Laplacian Partial Differential Equation (ODETLAP) and automates the adjustment of smoothing parameter. The high resolution version of such a surface fitting problem remains a challenge since we are still confined to extremely unevenly distributed depth samples collected along and near the ships, in which case numerous generic reconstruction algorithms generate unacceptable surfaces featuring abnormal depth fluctuations which are correlated with the trackline locations. Previously we reported the use a modified ODETLAP scheme, which integrates data-density-dependent smoothing into the reconstruction process, to generate surfaces which are free from such acquisition footprint. However, that scheme still suffers from terrain feature loss due to smoothing, and the reliance of human to decide appropriate smoothing factor. This paper aims to fix these two problems with a two-step ODETLAP procedure. The procedure first applies an accuracy-biased ODETLAP to complete the missing depth data from the given samples. After that, the vigorous depth fluctuations along the tracklines are removed by applying a smoothing-biased ODETLAP on the completed depth grid. To decide the optimal smoothing factor automatically, the procedure computes the areas of the individual bumps on the reconstructed surface. A surface suffering heavily from the artifacts has many small bumps but few big ones. Smoothing reduces such skewness. We find that for many datasets, the artifact is mostly gone when the coefficient of variation of the areas drops to around 1.3. Using that value to gauge the smoothing factor, the automated scheme successfully generates artifact-free seafloor surfaces within a limited error budget.</abstract><doi>10.1145/2429177.2429179</doi></addata></record>
fulltext fulltext
identifier ISSN: 1946-7729
ispartof SIGSPATIAL Special, 2012-11, Vol.4 (3), p.8-13
issn 1946-7729
1946-7729
language eng
recordid cdi_crossref_primary_10_1145_2429177_2429179
source Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list)
title Automated artifact-free seafloor surface reconstruction with two-step ODETLAP
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T06%3A12%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automated%20artifact-free%20seafloor%20surface%20reconstruction%20with%20two-step%20ODETLAP&rft.jtitle=SIGSPATIAL%20Special&rft.au=Lau,%20Tsz-Yam&rft.date=2012-11&rft.volume=4&rft.issue=3&rft.spage=8&rft.epage=13&rft.pages=8-13&rft.issn=1946-7729&rft.eissn=1946-7729&rft_id=info:doi/10.1145/2429177.2429179&rft_dat=%3Ccrossref%3E10_1145_2429177_2429179%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-crossref_primary_10_1145_2429177_24291793%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