本文選題：空心村　切入點(diǎn)：詞袋模型　出處：《農(nóng)業(yè)機(jī)械學(xué)報(bào)》2017年06期

【摘要】：如何利用高分影像構(gòu)建自動(dòng)解譯模型是快速高效獲取空心村建筑物的關(guān)鍵,對(duì)空心村調(diào)查研究具有重要意義。針對(duì)傳統(tǒng)目視解譯需要專業(yè)知識(shí),效率低、工作量大的問(wèn)題,提出一種基于詞袋特征的空心村高分影像建筑物解譯模型。首先,對(duì)比了多種影像特征提取方法;然后,選取詞袋特征(Bo W)和支持向量機(jī)(SVM)構(gòu)建建筑物自動(dòng)解譯模型;最后,為檢驗(yàn)方法的有效性,選取空心村高分影像構(gòu)建了建筑物樣本庫(kù),并基于該樣本庫(kù)進(jìn)行實(shí)驗(yàn)研究。結(jié)果表明本文方法的分類準(zhǔn)確度可以達(dá)到0.86,所提方法可用于空心村內(nèi)建筑物自動(dòng)解譯,具有較高的實(shí)用價(jià)值。
[Abstract]:How to construct an automatic interpretation model by using high score image is the key to acquire hollow village buildings quickly and efficiently, which is of great significance to the investigation and research of hollow villages.In order to solve the problem that traditional visual interpretation requires professional knowledge, low efficiency and heavy workload, a high score image interpretation model of hollow village based on word bag feature is proposed.Firstly, several image feature extraction methods are compared. Then, the automatic interpretation model of building is constructed by selecting word bag feature (Bo W) and support vector machine (SVM). Finally, in order to verify the validity of the method,The building sample database is constructed by selecting the hollow village high score image, and the experimental research is carried out based on the sample library.The results show that the classification accuracy of this method can reach 0.86. The proposed method can be applied to the automatic interpretation of buildings in hollow villages and has high practical value.
【作者單位】： 西南交通大學(xué)地球科學(xué)與環(huán)境工程學(xué)院;四川省土地統(tǒng)征整理事務(wù)中心;四川大學(xué)水力學(xué)與山區(qū)河流開(kāi)發(fā)保護(hù)國(guó)家重點(diǎn)實(shí)驗(yàn)室;四川大學(xué)水利水電學(xué)院;
【基金】：“十二五”國(guó)家科技支撐計(jì)劃項(xiàng)目(2014BAL01B04)
【分類號(hào)】：P237;TP751
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本文編號(hào)：1715994