基于后向散射特性的SAR遥感水体提取

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中图分类号：P332；TP751 文献标志码：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遥感水体提取[J].人民黄河，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

在全球气候变化背景下，近年来我国遭受极端降雨和洪涝事件的频率剧增，严重威胁了国家公共财产安全和人民生命安全。（剩余9000字）