海底底质分类反向散射强度三维概率密度法

海底底质分类反向散射强度三维概率密度法

P229; 反向散射强度随入射角变化信息蕴含海底底质特性, 是多波束海底底质分类的重要数据源.目前, 多波束海底底质分类主要提取平均反向散射强度随入射角的变化信息或基于声呐图像, 没有综合考虑两者的相关信息.本文综合考虑平均反向散射强度随入射角变化信息及其概率密度分布, 绘制三维概率密度图, 提出了基于反向散射强度三维概率密度图的海底底质分类方法.实例计算结果表明:该方法能直观表达多波束条带覆盖区内不同海底底质类型的数量, 有效判断不同海底底质类型的边界, 实现海底底质类型的快速识别....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ce hui xue bao 2019-01, Vol.48 (1), p.124-131
Hauptverfasser: 金绍华, 李家彪, 吴自银, 边刚, 崔杨
Format: Artikel
Sprache:chi ; eng
Schlagworte:
Backscattering
Classification
Histograms
Ocean floor
Probability distribution
Substrates
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 131
container_issue 1
container_start_page 124
container_title Ce hui xue bao
container_volume 48
creator 金绍华
李家彪
吴自银
边刚
崔杨
description P229; 反向散射强度随入射角变化信息蕴含海底底质特性, 是多波束海底底质分类的重要数据源.目前, 多波束海底底质分类主要提取平均反向散射强度随入射角的变化信息或基于声呐图像, 没有综合考虑两者的相关信息.本文综合考虑平均反向散射强度随入射角变化信息及其概率密度分布, 绘制三维概率密度图, 提出了基于反向散射强度三维概率密度图的海底底质分类方法.实例计算结果表明:该方法能直观表达多波束条带覆盖区内不同海底底质类型的数量, 有效判断不同海底底质类型的边界, 实现海底底质类型的快速识别.
doi_str_mv 10.11947/j.AGCS.2019.20170631
format Article
fullrecord <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_chxb201901015</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><wanfj_id>chxb201901015</wanfj_id><sourcerecordid>chxb201901015</sourcerecordid><originalsourceid>FETCH-LOGICAL-p1285-ec2c8e13fac0f62fca14180236fcfeece8df043d64edbb39f5531f9d5a3374603</originalsourceid><addsrcrecordid>eNpNj81Kw0AUhQdRsFYfwZW4TLw3M5PMLEvRKhRcqOuSTmaUIG1tLLoWqbrwb9EnEIo7FStK6uM4iY9hSgWFyz2Hw8c9XEKWEVxEyYK12K3UqjuuBygnKwCf4gwpIQA6yCWf_efnyUKSxABcMJ-XiMze3m06KOZ79Ggv-_nL2N5e27v7bPBgn8_tZ2rT4dfHVT4eZcOz_ObCPvWLJHsdLJI5Ex4meulXy2RvY323uunUt2tb1Urd6aAnuKOVp4RGakIFxveMCpGhAI_6RhmtlRaRAUYjn-mo2aTScE7RyIiHlAbMB1omq9O7J2HLhK39RtzudVtFY0MdnDYnPwMC8oJbmXKdbvuop5PjP9DjgjIesEDQHyPtasg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2583457478</pqid></control><display><type>article</type><title>海底底质分类反向散射强度三维概率密度法</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>金绍华 ; 李家彪 ; 吴自银 ; 边刚 ; 崔杨</creator><creatorcontrib>金绍华 ; 李家彪 ; 吴自银 ; 边刚 ; 崔杨</creatorcontrib><description>P229; 反向散射强度随入射角变化信息蕴含海底底质特性, 是多波束海底底质分类的重要数据源.目前, 多波束海底底质分类主要提取平均反向散射强度随入射角的变化信息或基于声呐图像, 没有综合考虑两者的相关信息.本文综合考虑平均反向散射强度随入射角变化信息及其概率密度分布, 绘制三维概率密度图, 提出了基于反向散射强度三维概率密度图的海底底质分类方法.实例计算结果表明:该方法能直观表达多波束条带覆盖区内不同海底底质类型的数量, 有效判断不同海底底质类型的边界, 实现海底底质类型的快速识别.</description><identifier>ISSN: 1001-1595</identifier><identifier>EISSN: 1001-1595</identifier><identifier>DOI: 10.11947/j.AGCS.2019.20170631</identifier><language>chi ; eng</language><publisher>Beijing: Surveying and Mapping Press</publisher><subject>Backscattering ; Classification ; Histograms ; Ocean floor ; Probability distribution ; Substrates</subject><ispartof>Ce hui xue bao, 2019-01, Vol.48 (1), p.124-131</ispartof><rights>Jan 2019. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/chxb/chxb.jpg</thumbnail><link.rule.ids>314,780,784,4022,27922,27923,27924</link.rule.ids></links><search><creatorcontrib>金绍华</creatorcontrib><creatorcontrib>李家彪</creatorcontrib><creatorcontrib>吴自银</creatorcontrib><creatorcontrib>边刚</creatorcontrib><creatorcontrib>崔杨</creatorcontrib><title>海底底质分类反向散射强度三维概率密度法</title><title>Ce hui xue bao</title><description>P229; 反向散射强度随入射角变化信息蕴含海底底质特性, 是多波束海底底质分类的重要数据源.目前, 多波束海底底质分类主要提取平均反向散射强度随入射角的变化信息或基于声呐图像, 没有综合考虑两者的相关信息.本文综合考虑平均反向散射强度随入射角变化信息及其概率密度分布, 绘制三维概率密度图, 提出了基于反向散射强度三维概率密度图的海底底质分类方法.实例计算结果表明:该方法能直观表达多波束条带覆盖区内不同海底底质类型的数量, 有效判断不同海底底质类型的边界, 实现海底底质类型的快速识别.</description><subject>Backscattering</subject><subject>Classification</subject><subject>Histograms</subject><subject>Ocean floor</subject><subject>Probability distribution</subject><subject>Substrates</subject><issn>1001-1595</issn><issn>1001-1595</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNj81Kw0AUhQdRsFYfwZW4TLw3M5PMLEvRKhRcqOuSTmaUIG1tLLoWqbrwb9EnEIo7FStK6uM4iY9hSgWFyz2Hw8c9XEKWEVxEyYK12K3UqjuuBygnKwCf4gwpIQA6yCWf_efnyUKSxABcMJ-XiMze3m06KOZ79Ggv-_nL2N5e27v7bPBgn8_tZ2rT4dfHVT4eZcOz_ObCPvWLJHsdLJI5Ex4meulXy2RvY323uunUt2tb1Urd6aAnuKOVp4RGakIFxveMCpGhAI_6RhmtlRaRAUYjn-mo2aTScE7RyIiHlAbMB1omq9O7J2HLhK39RtzudVtFY0MdnDYnPwMC8oJbmXKdbvuop5PjP9DjgjIesEDQHyPtasg</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>金绍华</creator><creator>李家彪</creator><creator>吴自银</creator><creator>边刚</creator><creator>崔杨</creator><general>Surveying and Mapping Press</general><general>国家海洋局海底科学重点实验室,浙江 杭州 310012</general><general>海军大连舰艇学院军事海洋与测绘系,辽宁 大连 116018%国家海洋局海底科学重点实验室,浙江 杭州,310012%海军大连舰艇学院军事海洋与测绘系,辽宁 大连,116018</general><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20190101</creationdate><title>海底底质分类反向散射强度三维概率密度法</title><author>金绍华 ; 李家彪 ; 吴自银 ; 边刚 ; 崔杨</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p1285-ec2c8e13fac0f62fca14180236fcfeece8df043d64edbb39f5531f9d5a3374603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>Backscattering</topic><topic>Classification</topic><topic>Histograms</topic><topic>Ocean floor</topic><topic>Probability distribution</topic><topic>Substrates</topic><toplevel>online_resources</toplevel><creatorcontrib>金绍华</creatorcontrib><creatorcontrib>李家彪</creatorcontrib><creatorcontrib>吴自银</creatorcontrib><creatorcontrib>边刚</creatorcontrib><creatorcontrib>崔杨</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database</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 China</collection><collection>Environmental Science Collection</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Ce hui xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>金绍华</au><au>李家彪</au><au>吴自银</au><au>边刚</au><au>崔杨</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>海底底质分类反向散射强度三维概率密度法</atitle><jtitle>Ce hui xue bao</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>48</volume><issue>1</issue><spage>124</spage><epage>131</epage><pages>124-131</pages><issn>1001-1595</issn><eissn>1001-1595</eissn><abstract>P229; 反向散射强度随入射角变化信息蕴含海底底质特性, 是多波束海底底质分类的重要数据源.目前, 多波束海底底质分类主要提取平均反向散射强度随入射角的变化信息或基于声呐图像, 没有综合考虑两者的相关信息.本文综合考虑平均反向散射强度随入射角变化信息及其概率密度分布, 绘制三维概率密度图, 提出了基于反向散射强度三维概率密度图的海底底质分类方法.实例计算结果表明:该方法能直观表达多波束条带覆盖区内不同海底底质类型的数量, 有效判断不同海底底质类型的边界, 实现海底底质类型的快速识别.</abstract><cop>Beijing</cop><pub>Surveying and Mapping Press</pub><doi>10.11947/j.AGCS.2019.20170631</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1001-1595
ispartof Ce hui xue bao, 2019-01, Vol.48 (1), p.124-131
issn 1001-1595
1001-1595
language chi ; eng
recordid cdi_wanfang_journals_chxb201901015
source EZB-FREE-00999 freely available EZB journals
subjects Backscattering
Classification
Histograms
Ocean floor
Probability distribution
Substrates
title 海底底质分类反向散射强度三维概率密度法
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T10%3A35%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=%E6%B5%B7%E5%BA%95%E5%BA%95%E8%B4%A8%E5%88%86%E7%B1%BB%E5%8F%8D%E5%90%91%E6%95%A3%E5%B0%84%E5%BC%BA%E5%BA%A6%E4%B8%89%E7%BB%B4%E6%A6%82%E7%8E%87%E5%AF%86%E5%BA%A6%E6%B3%95&rft.jtitle=Ce%20hui%20xue%20bao&rft.au=%E9%87%91%E7%BB%8D%E5%8D%8E&rft.date=2019-01-01&rft.volume=48&rft.issue=1&rft.spage=124&rft.epage=131&rft.pages=124-131&rft.issn=1001-1595&rft.eissn=1001-1595&rft_id=info:doi/10.11947/j.AGCS.2019.20170631&rft_dat=%3Cwanfang_jour_proqu%3Echxb201901015%3C/wanfang_jour_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2583457478&rft_id=info:pmid/&rft_wanfj_id=chxb201901015&rfr_iscdi=true