基于模糊聚類和遺傳算法的土地測(cè)繪數(shù)據(jù)分類集成方法研究

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【中圖分類號(hào)】：P208 【文獻(xiàn)標(biāo)志碼】：A 【文章編號(hào)】：1008-3197（2025）03-76-05

【DOI編碼】：10.3969/j.issn.1008-3197.2025.03.018

Research on Land Surveying and Mapping Data Classification Integration Method Based on Fuzzy Clustering and Genetic Algorithm

GE Tong， XUYang

（Tianjin Branch，Beijing Century Qianfu International Engineering Design Co.Ltd.，Tianjin3Ooo74，China）

【Abstract】：Inorder toimprove theaccuracyand completenessoftheland surveying data，preprocessing theoriginal land surveying data，noise，redundancy，and abnormal data were removed.Subsequently，utilizing DSM paralel technology to eficiently extract feature information from land surveying data，fuzzy clustering algorithm was combined to classifyland surveying and mapping data.Finally，the integration optimization ofclassification results was achieved through genetic algorithms.The results showed that the maximum accuracy of the proposed method for land surveying and mapping data classification was 95 % ，and the maximum evaluation value for the quality ofland surveyingand mappingdata integration was O.96，confirming that theproposed method has better performance in land surveying and mapping data classfication integration.

KeyWords】： fuzzy clustering;land surveying;classification integration;genetic algorithm

一般情況下，國(guó)家多種生產(chǎn)建設(shè)均需落實(shí)到土地上，但是國(guó)土資源是有限的，再加之國(guó)土資源利用具有不可逆轉(zhuǎn)性，使得國(guó)土資源規(guī)劃難度大幅度增加。（剩余4413字）