基于地球同步軌道InSAR每日生成DEM質(zhì)量分析
發(fā)布時間:2021-04-02 08:19
最新的數(shù)字高程模型(DEM)產(chǎn)品在災(zāi)害防治、城市管理等諸多領(lǐng)域中扮演著重要角色。利用機(jī)載或低地球軌道(LEO)的星載干涉合成孔徑雷達(dá)(InSAR)生成DEM已被證明是可行且極具價值的方法。然而,受成本和衛(wèi)星重返周期的限制,該技術(shù)難以頻繁(如每天)生成或更新大區(qū)域范圍(如大陸尺度或更大范圍)的DEM。由于對地同步合成孔徑雷達(dá)(GEOSAR)衛(wèi)星運(yùn)行于地球靜止軌道,因此它們能以相當(dāng)短的重返時間(每天或更短)觀測同一地面區(qū)域,這為實現(xiàn)生成每日DEM這一理想但目前難以實現(xiàn)的目標(biāo)提供了潛在可能。為此,本文系統(tǒng)地分析了利用GEOSAR衛(wèi)星生成的每日DEM產(chǎn)品質(zhì)量。結(jié)果表明:GEOSAR衛(wèi)星生成的每日DEM產(chǎn)品精度通常遠(yuǎn)低于利用傳統(tǒng)低軌星載合成孔徑雷達(dá)(SAR)獲得的DEM產(chǎn)品。因此,研究GEOSAR DEM生成過程中的誤差削弱方法顯得至關(guān)重要。
【文章來源】:Engineering. 2020,6(08)EISCI
【文章頁數(shù)】:13 頁
【參考文獻(xiàn)】:
期刊論文
[1]Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry[J]. Cheng HU,Yuanhao LI,Xichao DONG,Rui WANG,Chang CUI. Science China(Information Sciences). 2017(06)
[2]Modelling of tropospheric delays in geosynchronous synthetic aperture radar[J]. Dexin LI,Marc RODRIGUEZ-CASSOLA,Pau PRATS-IRAOLA,Zhen DONG,Manqing WU,Alberto MOREIRA. Science China(Information Sciences). 2017(06)
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本文編號:3114934
【文章來源】:Engineering. 2020,6(08)EISCI
【文章頁數(shù)】:13 頁
【參考文獻(xiàn)】:
期刊論文
[1]Optimal 3D deformation measuring in inclined geosynchronous orbit SAR differential interferometry[J]. Cheng HU,Yuanhao LI,Xichao DONG,Rui WANG,Chang CUI. Science China(Information Sciences). 2017(06)
[2]Modelling of tropospheric delays in geosynchronous synthetic aperture radar[J]. Dexin LI,Marc RODRIGUEZ-CASSOLA,Pau PRATS-IRAOLA,Zhen DONG,Manqing WU,Alberto MOREIRA. Science China(Information Sciences). 2017(06)
[3]L-band geosynchronous SAR imaging degradations imposed by ionospheric irregularities[J]. Yifei JI,Qilei ZHANG,Yongsheng ZHANG,Zhen DONG. Science China(Information Sciences). 2017(06)
[4]Potential of geosynchronous SAR interferometric measurements in estimating three-dimensional surface displacements[J]. Wanji ZHENG,Jun HU,Wei ZHANG,Changjiang YANG,Zhiwei LI,Jianjun ZHU. Science China(Information Sciences). 2017(06)
[5]A Case Study of Using External DEM in InSAR DEM Generation[J]. CHANG Hsingchung. Geo-Spatial Information Science. 2005(01)
本文編號:3114934
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