ALTERNATIVE TO FOUR-COMPONENT DECOMPOSITION FOR POLARIMETRIC SAR
نویسندگان
چکیده
منابع مشابه
Alternative to Four-component Decomposition for Polarimetric Sar
There are more unknowns than equations to solve for previous four-component decomposition methods. In this case, the nonnegative power of each scattering mechanism has to be determined with some assumptions and physical power constraints. This paper presents a new decomposition scheme, which models the measured matrix after polarimetric orientation angle (POA) compensation as a linear sum of fi...
متن کاملAdaptive Decomposition of Polarimetric Sar Covariance Matrices
One of the most complex problems in polarimetric radar imaging is how to interpret the measured covariance matrix in terms of known scattering mechanisms. Two main approaches are commonly used for this purpose. The first, introduced by Cloude [1] involves calculating the eigenvectors of the measured covariance matrix. This method provides a unique result. However, as shown by van Zyl [2], when ...
متن کاملThree-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scatter Modeling
In this paper, the three-component power decomposition for polarimetric SAR (PolSAR) data with an adaptive volume scattering model is proposed. The volume scattering model is assumed to be reflection-symmetric but parameterized. For each image pixel, the decomposition first starts with determining the adaptive parameter based on matrix similarity metric. Then, a respective scattering power comp...
متن کاملApplying the Freeman-Durden Decomposition Concept to Polarimetric SAR Interferometry
In this paper, the Freeman–Durden polarimetric decomposition concept is adapted to polarimetric SAR interferometry (PolInSAR) data. The covariance matrix obtained from PolInSAR observations is decomposed into the three scattering mechanisms matrices proposed by Freeman and Durden for polarimetric SAR (PolSAR) data. The objective is to describe each interferometric cross correlation as the sum o...
متن کاملEvaluation of Polarimetric SAR Decomposition for Classifying Wetland Vegetation Types
The Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental stresses. It is very important to monitor such wetlands to inform management on the status of these fragile ecosystems. This study aims to examine the applicability of TerraSAR-X quadruple polarimetric (quad-p...
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: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9050
DOI: 10.5194/isprs-annals-iii-7-207-2016