基于后向散射特性的SAR遙感水體提取

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中圖分類號：P332；TP751 文獻標志碼：A doi：10.3969/j.issn.1000-1379.2025.07.26引用格式：，，，等.基于后向散射特性的SAR遙感水體提取[J].人民黃河，2025，47（7）：163-168.

SAR Remote Sensing Water Extraction Based On Electromagnetic Scattering Characteristics

PENG Ruyi1，2.3，LI Jiaxin1，2，3，WU Jidong1，2， XU Yingjun12，WANG Lei4

（1.International CooperationJointLaboratoryfor Catastrophe Simulationand Systemic Risk Response，Ministryof Education， Beijing Normal Universityat Zhuhai，Zhuhai519O87，China；2.School of National SecurityandEmergency Management， BeijingNormalUniversityBeijingO875，China；3.SchoolofSystemsScience，BeijingNormalUniversityBeijing00875， China;4ScholfaidUrbStaoatieiUstofiilgeingndcieur，ea Abstract： Itisacommonmethodtoextract waterareasinSARremotesensingimagesbasedothetresholdsgmentationmethod，which hastheadvantagesofclearphysicalmeaningandlowagoritcomplexity.Thedeteminationofthesholdisthekeyoftistypofet od，andtheistigaalndutomatictolddeternatiometossuferfrortessdeakadptabilitytoaterdistribution.Thisarticlefirstlyanalyzedthereasonsforthefluctuationoftheoptimalsegmentationthresholdwhenextractingwaterbodies basednSARremotesensing imagesfromtheperspectiveofmicrowavescateringcharacteristicsofwaterbodies，mainlyicludingging conditions，polarizationmethods，watersurfaceroughness，andotherfactors；Secondly，onthisbasis，aregresionmodelbetwenSAR imagingcondionsandwaterbackscatringcoeficientwasuil，andanadaptivethesholdsgmentationmetodwaspropdforater extractionbasedonthismodel.Finally，experimentswereconductedbyusingactualhig-resolutionSARremotesensingimagedata.The testresultsshowthatthemethodhasstrongadaptabilitytochangesinimagingconditionsandothrfactors，withanextractionacacyof （20 94.8% .Theextractionprocesscanachievefullprocessautomation，whichcanefectively improvetheaccuracyandtimelinessofemote sensing flood monitoring.

Key words：microwave scattering characteristics； threshold segmentation；water extraction; remote sensing

0 引言

在全球氣候變化背景下，近年來我國遭受極端降雨和洪澇事件的頻率劇增，嚴重威脅了國家公共財產(chǎn)安全和人民生命安全。（剩余9000字）