基于模極大值特征提取的超聲波海底沉積物分類識別研究.pdf

1、中南大學碩士學位論文基于模極大值特征提取的超聲波海底沉積物分類識別研究姓名：聶雙雙申請學位級別：碩士專業(yè)：機械設計及理論指導教師：鄧躍紅20071201中南大學碩士學位論文ABSTRACTABSTRACTAlongwithlandmineralresourceusedup，Oceaniccobaltcrustresourcehasbeenacommercialforegroundstrategicalresourcein2lcentur

2、yandtheheaddevelopedcountriesintheworldhavebeendoingworkofinvestigationandexploitationInordertoquickenthestepofexploitationofseabedcobaltcrustinourcountryandimbursedbythenationalnaturalsciencefunditem“StudyontheAbyssalbe

3、nthicCobalt—richCrustsTinyterrainDetectingTechnologyandtheBestCollectionDeepnessModel”theinvestigationwasdoneoftheidentificationandclassificationofseabedsedimentinthedissertationAclassificationmethodwasproposedbasedonthe

4、applicationofmodulusmaximainfeatureextraction。DifferentechoiSgainedtodetectdifferentsedimentnejumpingoffwasfoundoutmakinguseofthecorrelationprincipleInterceptechoThendowaveletstransforrnandpickoutthemodulusmaximafeatureT

5、heywerecompressedwitlloptimalsetofdiscriminantvectorsAttheendanalysiswasdoneintheclassifierBasedonabovementionedtheoryaccordingasthestandardofnaturesediment14sedimentwasmadeofmud、sandandgravelaccordingtodifferentproporti

6、onThemodulusmaximafeatureisdifferentcorrespondingdifferentechoAclassificationandidentificationmodelwasfoundonexperimentsInordertovalidatethemodel，wesampledsedimentfromtheXiangJiangriverbedTheexperimentwasdonetothesamples

7、AportionofthesamplesweregriddledandweighedComparedthetworesultstheexactnessidentificationratewasabout80percentsLookfromtheresultsthismethodandmodelarecorrectandreliableTheresearchaffordsfavorabletheoreticvaluefortheident

8、ificationandclassificationofseabedsedimentItalsohasrealisticsignificancefortheseabedphysiognomyandcharactersAndtheresearchfurnisheseffectivetechniquesustainforthecountryabyssalbenthicmining1EYWORDS：seabedsediment，wavelet