發(fā)布時間：2018-03-24 20:37

  本文選題：SPOT　切入點：規(guī)則　出處：《國土資源遙感》2017年03期

【摘要】：針對SPOT6衛(wèi)星遙感影像,采用基于規(guī)則的方法對建筑物進行提取。首先,分析了每種規(guī)則屬性提取建筑物的效果,在此基礎上制定建筑物提取規(guī)則;再分別采用K均值聚類法(K-means)、K臨近值法(K nearest neighbor,KNN)、支持向量機法(support vector machine,SVM)和神經(jīng)網(wǎng)絡法進行建筑物提取實驗,并與基于規(guī)則的方法進行對比;最后,對建筑物提取結(jié)果進行精度評價。研究表明,基于該規(guī)則的建筑物提取精度高于其他方法,在一定程度上緩解了椒鹽現(xiàn)象和同譜異物問題,可為今后SPOT6衛(wèi)星影像更廣闊的應用提供一定的技術(shù)支持。
[Abstract]:In view of SPOT6 satellite remote sensing image, a rule-based method is used to extract buildings. Firstly, the effect of each rule attribute extraction on buildings is analyzed, and then the building extraction rules are established. Then K-means clustering method and K-means-K approach method, support vector machine method, support vector machine method and neural network method are used to carry out the experiment of building extraction, and compared with the rule-based method. Finally, the method of support vector machine (SVM) and neural network (NN) are compared with the rule-based method. The research shows that the precision of building extraction based on this rule is higher than that of other methods, which alleviates the salt and pepper phenomenon and the problem of isospectral foreign body to some extent. It can provide certain technical support for wider application of SPOT6 satellite image in the future.
【作者單位】： 天津城建大學地質(zhì)與測繪學院;
【基金】：天津市自然科學基金項目“天津濱海新區(qū)地表水環(huán)境信息遙感提取與評價方法研究”(編號:13JCQNJC08600)、“基于變化軌跡方法的濱海濕地流失累積效應研究”(編號:15JCYBJC23500) 國家自然科學基金重點項目“京津唐地區(qū)景觀格局演變與生態(tài)用地流失特征”(編號:41230633)共同資助
【分類號】：P237;TP751
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本文編號：1659931