本文關(guān)鍵詞： 植被指數(shù) 水體指數(shù) 建筑用地指數(shù) 面向?qū)ο蠓诸?指數(shù)數(shù)量 指數(shù)組合　出處：《遙感技術(shù)與應(yīng)用》2017年03期 　論文類型：期刊論文

【摘要】：專題指數(shù)對(duì)遙感影像自動(dòng)解譯至關(guān)重要,現(xiàn)有研究多針對(duì)單目標(biāo)信息提取來篩選專題指數(shù),無法得到適用于多目標(biāo)遙感自動(dòng)解譯的最佳專題指數(shù)。以德州市城區(qū)及周邊地區(qū)為例,采用Landsat 5TM影像提取了2個(gè)植被、3個(gè)水體和3個(gè)建筑用地專題指數(shù),基于面向?qū)ο蠓诸惙椒?分析了單個(gè)專題指數(shù)、指數(shù)組合、指數(shù)數(shù)量對(duì)同時(shí)提取植被、水體和不透水層信息的精度影響。結(jié)果表明:(1)3類地物的最小分類精度基本上隨著專題指數(shù)增加而增大;(2)從單個(gè)專題指數(shù)來看,不透水層和植被提取的最佳指數(shù)分別是建筑物指數(shù)和土壤調(diào)整植被指數(shù),而新型水體指數(shù)則能顯著提高總體分類精度;(3)從專題指數(shù)的組合來看,植被分類精度隨所用的植被指數(shù)數(shù)量增加而下降;建筑用地指數(shù)越多,不透水層和總體分類效果越好;隨著水體指數(shù)數(shù)量增加,水體分類精度有所提高,而不透水層和總體分類精度則隨之下降。
[Abstract]:Thematic indices are very important for automatic interpretation of remote sensing images. The best thematic index for automatic interpretation of multi-target remote sensing can not be obtained. Taking the urban area of Dezhou and its surrounding areas as an example, two vegetation, three water bodies and three thematic indices of construction land were extracted by using Landsat 5TM image. Based on the object oriented classification method, a single thematic index, index combination and index number pairs are analyzed to extract vegetation at the same time. The results show that the minimum classification accuracy of the three types of ground objects increases with the increase of the thematic index.) from the point of view of a single thematic index, the minimum classification accuracy of water bodies and impermeable layers increases with the increase of the thematic index. The best indexes of impermeable layer and vegetation extraction are the building index and the soil adjusted vegetation index, respectively, while the new water body index can significantly improve the overall classification accuracy. The accuracy of vegetation classification decreases with the increase of the number of vegetation indices used; the more the index of building land, the better the classification effect of impermeable layer and overall classification; with the increase of the number of water bodies, the accuracy of water body classification increases. However, the impermeable layer and the overall classification accuracy decreased with it.
【作者單位】： 北京師范大學(xué)地表過程與資源生態(tài)國家重點(diǎn)實(shí)驗(yàn)室;北京師范大學(xué)地理科學(xué)學(xué)部;中國科學(xué)院地理科學(xué)與資源研究所;
【基金】：國家自然科學(xué)基金項(xiàng)目(41371186)
【分類號(hào)】：TP751

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