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The Italian territory is strongly affected by ground instability phenomena and the occurrence of geological events, such as landslides and subsidence, is one of the main causes of damage to linear inf...
The Italian territory is strongly affected by ground instability phenomena and the occurrence of geological events, such as landslides and subsidence, is one of the main causes of damage to linear inf...
This paper presents the DTM accuracy derived from JERS-1 SAR Interferometry based on the branch cut method. The target area were selected FUJI and FUGEN mountain in the volcanic mountaions. The accura...
French Polynesia islands are located at the middle of the South Pacific Ocean. They are thus subject to a strong environmental planning leading to landscape changes as well as to the introductio...
This paper summarizes a preliminary progress made in our ongoing R&D project concerned with developing a new paradigm for orientation and registration of SAR images. The basic idea is to replace tra...
The objective of this study is to automatically detect changed areas caused by natural disasters from bi-temporal co-registered and calibrated TerraSAR-X data. The technique in this paper consists o...
As part of a Tanzanian-Norwegian cooperation project on Monitoring Reporting and Verification (MRV) for REDD+, 2007-2011 C- and L-band synthetic aperture radar (SAR) backscatter data from Envisat AS...
由于存在着去相干分量,利用ESPRIT(旋转不变技术)算法对植被区域的极化干涉SAR(POLInSAR)数据进行反演的结果存在着较严重的偏差。针对这一问题,结合极化干涉相干最优理论及其物理散射机制,引入新的散射矢量——相干最优化散射矢量,提出了一种改进的基于ESPRIT的植被高度反算法。最后,利用欧空局(ESA)提供的模拟L波段全极化干涉数据对改进算法的有效性进行了验证,试验结果证明改进算法能很大...

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