SPARK
发表于 2025-3-21 16:45:13
书目名称Radar Interferometry影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0820388<br><br> <br><br>书目名称Radar Interferometry读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0820388<br><br> <br><br>
是突袭
发表于 2025-3-22 00:06:12
978-90-481-5696-2Springer Science+Business Media Dordrecht 2001
四指套
发表于 2025-3-22 01:53:20
Radar Interferometry978-0-306-47633-4Series ISSN 1567-3200 Series E-ISSN 2215-1842
挑剔小责
发表于 2025-3-22 06:23:20
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许可
发表于 2025-3-22 10:33:00
Remote Sensing and Digital Image Processinghttp://image.papertrans.cn/r/image/820388.jpg
FLIC
发表于 2025-3-22 15:10:00
https://doi.org/10.1007/0-306-47633-9Geoinformationssysteme; Meteorology; data analysis; geodesy; geophysics; remote sensing; satellite; systems
商店街
发表于 2025-3-22 18:52:34
Radar system theory and interferometric processing,the formation of a complex SAR image based on raw satellite radar data. A major part of this chapter focuses on the interferometric processing cookbook, discussing the main issues and problems. Differential interferometry is covered in the last section of this chapter.
gustation
发表于 2025-3-22 21:20:22
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摇曳的微光
发表于 2025-3-23 01:50:46
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metropolitan
发表于 2025-3-23 06:56:00
Atmospheric monitoring,a, and suggest that radar observations can be used to study atmospheric dynamics and may contribute to forecasting. The theory and sensitivity analysis of the various atmospheric refractivity contributions is discussed. IRM results are validated using conventional meteorological techniques and GPS observations.