Multichannel SAR Interferometry via Classical and Bayesian Estimation Techniques
نویسندگان
چکیده
منابع مشابه
Multichannel SAR Interferometry via Classical and Bayesian Estimation Techniques
Some multichannel synthetic aperture radar interferometric configurations are analyzed. Both across-track and along-track interferometric systems, allowing to recover the height profile of the ground or the moving target radial velocities, respectively, are considered. The joint use of multichannel configurations, which can be either multifrequency or multi-baseline, and of classical or Bayesia...
متن کاملEdge Detection in Urban Areas using Multichannel SAR Interferometry
Building edge detection is a task of increasing importance in last decays. In this paper we propose a novel approach to handle this problem using jointly both SAR amplitude and phase data. The technique is based on a stochastic estimation and on Markov Random Field (MRF). The algorithm computes the building edge map looking for the discontinuities of both phase and reflectivity using jointly th...
متن کاملSAR Interferometry, Bayesian inversion, Sarpol-e zahab earthquake, Fault source parameters
Abstract Earthquakes occur at teh border of teh plates and faults, causing financial and casual damages. Teh study of earthquakes and surface deformation is useful in understanding teh mechanism of earthquakes and managing teh risks and crises of earthquakes. A fault can be specified by its geometric source parameters. In Okada’s definition, these parameters are length, width, depth, strike, di...
متن کاملIca Techniques Applied to Sar Interferometry
This paper deals with the validation of Blind Source Separation techniques for an automatic elimination of effects due to atmospheric fluctuations and microclimates or any other spurious artifact eventually present in SAR interferograms. Specifically, an Independent Component Analysis algorithm (the FastICA) is applied on arrays of ERS-1/ERS-2 interferograms and the results are shown for mounta...
متن کاملForest Biomass Estimation using Polarimetric SAR Interferometry
Forest biomass is one of the most important parameters for global carbon stock modelling yet can only be estimated with great uncertainties. Unfortunately, conventional remote sensing techniques for the estimation of forest biomass are not able to provide estimates on a global scale. An alternative approach is based on forest height estimates from single frequency polarimetric-interferometric S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2005
ISSN: 1687-6180
DOI: 10.1155/asp.2005.3180