分布式目標(biāo)反演形變的關(guān)鍵性問(wèn)題分析與處理
發(fā)布時(shí)間:2018-01-08 15:22
本文關(guān)鍵詞:分布式目標(biāo)反演形變的關(guān)鍵性問(wèn)題分析與處理 出處:《遙感信息》2017年02期 論文類(lèi)型:期刊論文
更多相關(guān)文章: 非參數(shù)假設(shè)檢驗(yàn) 統(tǒng)計(jì)同質(zhì)像元 時(shí)序平均相干性 空間自適應(yīng)濾波 分布式目標(biāo)
【摘要】:分布式目標(biāo)廣泛存在于自然界中,就傳統(tǒng)時(shí)間序列InSAR技術(shù)而言,難以將其應(yīng)用于地表緩慢形變反演流程中。主要存在2個(gè)方面的原因:1)分布式目標(biāo)呈面狀分布,在影像空間中拓展結(jié)構(gòu)難以確定,缺少對(duì)應(yīng)的提取方法;2)分布式目標(biāo)的時(shí)間序列相位不穩(wěn)定,與永久散射體不同,難以建立其與待估參量之間的解算模型。為了滿(mǎn)足融合分布式目標(biāo)與高相干點(diǎn)目標(biāo)反演地表形變的實(shí)際應(yīng)用需求,該文詳細(xì)分析了利用分布式目標(biāo)反演地表緩慢形變存在的關(guān)鍵性問(wèn)題,并結(jié)合當(dāng)前國(guó)內(nèi)外研究進(jìn)展給出相應(yīng)的處理方法,使得聯(lián)合分布式目標(biāo)與高相干點(diǎn)目標(biāo)反演地表形變成為可能。
[Abstract]:Distributed targets exist widely in nature, as far as the traditional time series InSAR technology is concerned. It is difficult to apply it to the inversion process of slow deformation of the earth's surface. There are two main reasons: 1) the distributed target is distributed in a plane form, it is difficult to determine the extended structure in the image space, and there is a lack of corresponding extraction method. 2) the phase of time series of distributed targets is unstable, which is different from that of permanent scatterers. It is difficult to establish a solution model between the parameters to be estimated. In order to meet the practical application needs of fusion of distributed target and high coherent point target inversion of surface deformation. In this paper, the key problems of slow deformation inversion using distributed targets are analyzed in detail, and the corresponding processing methods are given in combination with the current research progress at home and abroad. It is possible to combine distributed target and high coherent point target to retrieve surface deformation.
【作者單位】: 北京環(huán)球星云遙感科技有限公司;中國(guó)測(cè)繪科學(xué)研究院;
【分類(lèi)號(hào)】:TN957.52
【正文快照】: 0引言以面狀形態(tài)存在的分布式目標(biāo)因其提取和相位穩(wěn)定性問(wèn)題在傳統(tǒng)時(shí)間序列InSAR(interferometric SAR)技術(shù)反演地表形變過(guò)程中并沒(méi)有得到過(guò)多關(guān)注。而隨著InSAR技術(shù)實(shí)際應(yīng)用需求的進(jìn)一步擴(kuò)大,單純依賴(lài)于高相干點(diǎn)目標(biāo)獲取形變信息的傳統(tǒng)InSAR技術(shù)受到了前所未有的限制,尤其以,
本文編號(hào):1397657
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