PCI Geomatica 2018 SP1 Build 2019.02.01 x64 遙感圖像處理軟件 PCIGeomatica軟件是地理空間信息領域世界級的專業公司加拿大PCI公司的旗幟產品,其當前最新版本Geomatica已經集成了遙感影像處理、專業雷達數據分析、GIS/空間分析、製圖和桌面數字攝影測量系統,成為一個強大的生產工作平台,並且重組了模塊構成,使得軟件模塊更面嚮應用而且簡潔。 PCIGeomatica作為圖像處理軟件系統的先驅,以其豐富的軟件模塊、支持所有的數據格式、適用於各種硬件平台、靈活的編程能力和便利的數據可操作性代表了圖像處理系統的發展趨勢和技術先導。 作為一個地理空間軟件的專業使用者,您的工作是從影像中獲得最多的數據信息,用獲得的信息幫助您制定更好的決策方案。而PCIGeomatics的使命,就是為圖像處理工作者提供最好的工具,幫助他們將空間數據轉為信息。 DeveloperbyPCIGeomatics,Geomaticaisananalysisapplicationdedicatedtoearthobservationdata.Itenablesprofessionalsandenthusiastsaliketoopensatelliteandaerialimages,inordertoinvestigatedetailsusingadvancedtechniques. AnalysisReadyDataToolsforRigorousScientificAnalysis Rapidlyandeasilypreprocesslargevolumesofsatelliteimagerytoperformmeaningfulmulti-temporalanalysis.Spendlesstimenormalizingandcorrectingsatelliteimagery,andmoretimeanalyzingtimeseriestoderiveactionableinformation.TheAnalysisReadyDataToolsadd-onworkswithallsupportedsensorstocreatetime-seriesstacksthatcanpopulateaDataCube. DSMTrueOrthoGeneration OvercomemanyofthelimitationsofDigitalTerrainModel(DTM)orthoproductsbyautomaticallygeneratingtrue-orthoproductsthroughautomaticallyextracted,highlyaccurateDigitalSurfaceModels(DSMs).TheautomaticDSMtrue-orthoadd-onallowscansavehoursofmanuallabourextracting3Dmodelsorperformingexpensivegroundsurveys.GeneratinghighqualityDSMtrue-orthoproductshasneverbeeneasier. HighResolutionDSMExtraction Extractinghighquality,highresolutionDigitalSurfaceModelsfromthelatestsensorsiseasierandfasterthanever.Workwith100’sor1,000sofstereopairsusingadvancedtechnology.IntelligentlycombinemultipleviewingpointstoproduceMulti-ViewDigitalSurfaceModels,givingyouhigherdetailedandmoreaccurateresults. OpticalandSARSegmentation,ClassificationandFeatureExtraction Easy-to-learnandeasy-to-use,theObjectAnalystadd-onguidesyouthroughimagesegmentation,trainingsitecreation,classification(includingcreatingcustomrules)andfeatureextraction.BysegmentingopticalorSARimagesintodiscreteshapes,boundariesandrelationshipscanbemoreeasilyseenandanalyzed,providingefficientmeanstoextractfeaturesfromimagery.Improvingthefinalqualityofanalysiscanbeaccomplishedthroughtheuseofintuitivereshapingtools. InSARProcessing End-to-endinterferometricradarprocessingtoderivedeformationmapsorelevationproductscanbeachievedthroughtheInSARadd-on.Eachstepintheprocessisdesignedtobeflexible,intuitive,andtorunindependentlyorinsequencethroughtheGeomaticaPythonAPI,withautomationdrivenbymetadataforoperationalapplications.InSARissuitableforDEMgeneration,andanylanddeformationapplicationandallowstime-seriesanalysisformeasuringsurfacedisplacementandvelocitytosub-centimeteraccuracy. Pansharpening Pansharpeningalgorithmshavebeenaddedtotheexistingmethods,includingaMulti-ResolutionAnalyis(MRA)fusiontechniquethatcreateshigh-resolutioncolorimagesbyfusingblack-and-whitepanchromatic(PAN)andmultispectral(MS)colorimages.ThekeyadvantageoftheMRAfusiontechniqueisthatitproducessimilar-to-superiorsharpeningresultswhilepreservingthespectralcharacteristicsoftheoriginalimage,makingitpossibletoconductanalysisathigherresolutions. Pansharpening Pansharpeningalgorithmshavebeenaddedtotheexistingmethods,includingaMulti-ResolutionAnalyis(MRA)fusiontechniquethatcreateshigh-resolutioncolorimagesbyfusingblack-and-whitepanchromatic(PAN)andmultispectral(MS)colorimages.ThekeyadvantageoftheMRAfusiontechniqueisthatitproducessimilar-to-superiorsharpeningresultswhilepreservingthespectralcharacteristicsoftheoriginalimage,makingitpossibletoconductanalysisathigherresolutions. WhatsNew