本文選題：高光譜遙感　切入點：地形校正　出處：《山地學(xué)報》2016年05期 　論文類型：期刊論文

【摘要】：高光譜遙感具有光譜分辨率高,圖譜合一的突出特點,在地質(zhì)勘探和植被遙感等定量應(yīng)用中,較全色和多光譜更有優(yōu)勢。然而目標(biāo)區(qū)復(fù)雜的地形效應(yīng),是制約高光譜數(shù)據(jù)應(yīng)用效果的諸多外界因素之一,利用地形校正模型消除地形影響,已成為目前高光譜遙感圖像步入應(yīng)用前的有效處理手段。目前的地形校正方法研究當(dāng)中,遙感數(shù)據(jù)以多光譜居多,且校正效果的評價方法較之高光譜圖像的特點也略顯不足。通過朗伯體和非朗伯體假設(shè)的不同校正模型(C,SCS+C,Minnaert,Minnaert+SCS)對Hyperion遙感圖像進行地形校正,并利用目視效果,分類標(biāo)準(zhǔn)差,目標(biāo)反射率對比對校正結(jié)果分析評價,證明Minnaert+SCS模型最優(yōu),且評價方法合理,有效。
[Abstract]:Hyperspectral remote sensing has the outstanding characteristics of high spectral resolution and integration of maps. It has more advantages than panchromatic and multi-spectral applications in quantitative applications such as geological exploration and vegetation remote sensing. It is one of the external factors that restrict the application effect of hyperspectral data. Using topographic correction model to eliminate topographic influence has become an effective means of processing hyperspectral remote sensing image before its application. The remote sensing data are mostly multispectral, and the evaluation method of correction effect is also slightly less than that of hyperspectral image. The terrain correction of Hyperion remote sensing image is carried out by using different correction models of Lambert body and non-Lambert body hypothesis. The correction results are analyzed and evaluated by visual effect, classification standard deviation and target reflectivity comparison. It is proved that the Minnaert SCS model is optimal, and the evaluation method is reasonable and effective.
【作者單位】： 61206部隊;61139部隊;96633部隊;
【分類號】：TP751

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本文編號：1643372