面向森林资源监测方法的人工智能算法

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中图分类号：S771.8 文献标识码：A doi：10.13601/j.issn.1005-5215.2025.05.013

Artificial Intelligence Algorithms for Forest Resources Monitoring Methods

Han Shigang

（ShaanxiForestrySurveyandPlanninglnstitute（ShaanxiForestResources MonitoringCenter），Xi'an71oo82，China）

AbstractForestresource monitoring isthecore technical meansof ecologicalprotectionandsustainableforestrymanagement. Obtainingforestcoverage，trespeciesdtributionanddynamicchangeinformationtroughemotesensingandartficialintellience methodscanprovidescientificsupportforecologicalasessent，carbonsinkcalculationandforestdisasterwaringThereareome problemsinthecurrntdeepleaingalgorithm，suchasinsuficientfeaturefusionweakabilityofvegetationboundaryanddetail featureextraction.InordertoimprovetheaccuracyofforestresourcemonitoringbasedontheimprovedU-shapednetwork algorithm，anembeddedchanelatentionmodulewasintroducedtodsignaforestresourcemonitoringalgorithm.Theesultssowed thatwhenthenumberoffeatures was24，theoverallaccuracyof the improvedalgorithmwasthe best，which was 91.6% .Atthe same time，theKapppcofcientwas0.89.Intermsofindiviualselection，tedistributionaccuracofthealgoritmforfoursaplesof Pinustabuliformis，Ouercusalienavar.acuteserrata，PinusarmandiandPlatycladusorientaliswasmaintainedat 85%-95% .The improvedU-shapednetworkalgorithmsignificantlyimprovesthaccracyanddetailrecogitionabilityofforestresourcemoitoring， andprovidesamore accurate technical path for dynamic monitoring of forest resources.

Keywords forest resource monitoring;remote sensing images;U-Net;atention mechanism;data fusion

森林资源监测是生态环境保护和可持续发展的重要组成部分，对于林业管理、碳汇计算和生物多样性保护等方面具有关键作用。（剩余5851字）