發(fā)布時(shí)間：2018-03-21 23:22

  本文選題：云陰影　切入點(diǎn)：復(fù)雜地形　出處：《遙感學(xué)報(bào)》2017年02期 　論文類型：期刊論文

【摘要】：云陰影檢測(cè)在遙感科學(xué)領(lǐng)域是一個(gè)重要研究方向,在許多方面有重要應(yīng)用。單純采用光譜閾值法識(shí)別云陰影會(huì)面臨較多困難,難以準(zhǔn)確識(shí)別,而采用時(shí)間序列法,則需耗費(fèi)較多機(jī)時(shí),過程較為繁復(fù)。在準(zhǔn)確識(shí)別云像元的基礎(chǔ)上,應(yīng)用幾何學(xué)方法識(shí)別云陰影是較為準(zhǔn)確、實(shí)用的方法。目前,應(yīng)用幾何學(xué)方法計(jì)算起伏地形條件下的云陰影分布和變化特征的研究較少,本文提出了一種基于幾何學(xué)方法的復(fù)雜地形條件下的云陰影識(shí)別方法,可以計(jì)算云像元對(duì)應(yīng)陰影在復(fù)雜地形上的位置。模擬和實(shí)驗(yàn)表明,所提出的算法在識(shí)別復(fù)雜地形條件的云陰影方面具有較好效果,克服了幾何法識(shí)別云陰影模型的原有缺陷。
[Abstract]:Cloud shadow detection is an important research direction in remote sensing science and has important applications in many aspects. It is difficult to identify cloud shadow by spectral threshold method, and it is difficult to identify cloud shadow accurately. On the basis of accurate identification of cloud pixels, it is more accurate and practical to use geometry to identify cloud shadows. In this paper, a method for cloud shadow recognition under complex terrain conditions is proposed, which is based on geometric method, which is seldom used to calculate cloud shadow distribution and variation characteristics under undulating terrain. The location of cloud pixel corresponding shadow on complex terrain can be calculated. Simulation and experiments show that the proposed algorithm has good effect in identifying cloud shadow under complex terrain conditions and overcomes the original defect of cloud shadow model by geometric method.
【作者單位】： 中國科學(xué)院遙感與數(shù)字地球研究所遙感科學(xué)國家重點(diǎn)實(shí)驗(yàn)室;內(nèi)蒙古自治區(qū)生態(tài)與農(nóng)業(yè)氣象中心;南京信息工程大學(xué)應(yīng)用氣象學(xué)院;
【基金】：國家自然科學(xué)基金(編號(hào):41371360) 中國科學(xué)院重點(diǎn)部署項(xiàng)目(編號(hào):KZZD-EW-TZ-18)~~
【分類號(hào)】：TP79

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本文編號(hào)：1646033