基于線陣CCD旋轉(zhuǎn)掃描的圖像重建與目標(biāo)檢測(cè)方法研究.pdf

1、聲明本學(xué)位論文是我在導(dǎo)師的指導(dǎo)下取得的研究成果，盡我所知，在本學(xué)位論文中，除了加以標(biāo)注和致謝的部分外，不包含其他人已經(jīng)發(fā)表或公布過的研究成果，也不包含我為獲得任何教育機(jī)構(gòu)的學(xué)位或?qū)W歷而使用過的材料。與我一同工作的同事對(duì)本學(xué)位論文做出的貢獻(xiàn)均己在論文中作了明確的說明。研究生簽名：學(xué)位論文使用授權(quán)聲明南京理工大學(xué)有權(quán)保存本學(xué)位論文的電子和紙質(zhì)文檔，可以借閱或上網(wǎng)公布本學(xué)位論文的部分或全部?jī)?nèi)容，可以向有關(guān)部門或機(jī)構(gòu)送交并授權(quán)其保存、借閱或上網(wǎng)

2、公布本學(xué)位論文的部分或全部?jī)?nèi)容。對(duì)于保密論文，按保密的有關(guān)規(guī)定和程序處理。研究生簽名：王丈夾墨加／7年口朔錫日Abstract碩士學(xué)位論文AbstractLineararrayCCDrotationscanningtechnologyisaneffectivewaytoachievehighspeedimagingandtargetdetectionOurresearchteamdesignedanewlinearscanningCCD

3、imagingsystemforlowaltitudeimagingBasedonthesystem，thispaperintroducedanideatoaccomplishtheimagereconstructionandtargetdetectionoftheimagesInthispaperbasedontheindepthdataresearch，areconstructionmodeloftherealsceneimagei

4、sestablishedbasedonthepinholeimagingmodelofthelinearCCDscanningsystemTheinfluenceofsystemparameters，suchasfieldangle，rotationalspeed，samplingfrequencyandeffectivepixelnumberoflineararrayCCD，ontheimagingresultsisanalyzed，

5、andtheoptimalmatchingconditionofthesystemparametersisobtained，whichprovidesthetheoreticalbasisfortheoptimizationdesignofthehardwaresystemSecondlybyusingDMAtechnologyofDSPchipandUSB20interfacetechnologythedatatransmission

6、controlmoduleisdeveloped，andthedatatransmissionrateisgreaterthan57MB／S，andsolvedtheproblemthatthedatatransmissionratebetweentheFlashmemoryandthePCIstooslowThememorymappedfiletechnologyisusedtealizetheloadinganddynamicdis

7、playofthescannedsequenceimagesByusingtheperiodicityofthestationarybackgroundinthesequenceimage，theautocorrelationoftheone—dimensionalprojectionoftheimageisusedtosolvethefastandaccuratecalculationofthesamplingnumberperrev

8、olutionoflinearCCDAndtheimagereconstructionanddisplaymoduleinthevisualcoordinatesystemaredevelopedBasedontheimagesegmentationtechniqueandthemovingobjectdetectiontechnique，theregionofthetargetinthereconstructedimageisdete

9、rmined，andthetargetrecognitionbasedontheimagetemplatematchingiscardedoutontheextractedregion，andthetargetCanbeidentifiedquicklyandaccuratelyInaddition，itisfoundthatthewatershedsegmentationalgorithmhasagoodsegmentationeff

10、ectonreconstructedimages、歷thcomplexilluminationconditionsandweakedgesThebackgroundsubtractionalgorithmbasedonGaussianmixturemodelCandetectmovingobjectsincomplexbackgrounds，TemplatematchingCanaccuratelyidentifytargetsKeyw