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中文摘要：
结合ALOS PALSAR和Envisat ASAR监测汶川震区同震形变场的示例验证L波段和C波段SAR数据集的优缺点：实验结果表明L波段数据集更适于地形起伏较大、高植被覆盖地区的地表形变监测，尤其在形变梯度较大的区域，PALSAR影像不易引起干涉图中的条纹混叠现象，便于相位解缠，从而提高观测精度。
英文摘要：
It describes the results of the ground motion monitoring over Wenchuan earthquake sites in the southwest of China with the ALOS PALSAR and ENVISAT ASAR sensors based on the differential interferometric synthetic aperture radar （DInSAR） technique. In recent the C-band data were mainly used to detect the ground deformation, but the results of interferometry are limited by high vegetated areas and rugged terrains. The study purpose is to demonstrate that these constraints decrease significantly at L-band data due to its spatial resolution and the longer wavelength. The real and simulated data also show L-band data sets are more appropriate for detecting the deformation over the rugged terrain and high vegetation area. Especially, for the large deformation gradient area, PALSAR images are not likely to generate interferometric phase aliasing which goes against the phase unwrap.
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