Results 141 to 150 of about 1,140 (180)

Target Polarimetric Decompositions of PolSAR Image

2021
Target polarimetric decomposition is one of the most important aspects of polarimetric microwave imaging. The objective of polarimetric decomposition is to express the polarimetric information of the target as a combination of many known objects, such as a plate, a dihedral, a helix, a line, and a sphere, so we can understand and analyze the scattering
Ruliang Yang, Bowei Dai, Lulu Tan, Xiuqing Liu, Zhen Yang, Haiying Li   +5 more
openaire   +1 more source

Polarimetric-anisotropic decomposition of synthetic aperture radar

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
To explore anisotropic information embedded among sub-aperture SAR images, we propose polarimetric sub-aperture singular value decomposition, where polarimetric and anisotropic features are simultaneously decomposed. The decomposed singular values and left singular vectors are equivalent to eigen-analysis-based polarimetric target decomposition, while ...
Feng Xu 0001, Yongchen Li, Ya-Qiu Jin
openaire   +2 more sources

Polarimetric sar target decomposition based on nonlinear decorrelation

2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), 2012
In remotely sensed Synthetic Aperture Radar (SAR) images, scattering from a target is often the result of a mixture of different scattering mechanisms. Fully polarimetric data offers the possibility to separate and to interpret them. To achieve this task, several target decomposition techniques have been proposed in the literature.
Licciardi, GA, Avezzano, RG, DEL FRATE, FABIO, SCHIAVON, GIOVANNI, Chanussot, J.   +4 more
openaire   +2 more sources

Polarimetric decomposition for the selection of persistent scatterers

Remote Sensing Letters, 2016
ABSTRACTIn this paper, the issue of employing polarimetric processing methods for persistent scatterers (PS) selection is addressed. The scope of the paper regards the processing methods for PS generation by means of coherent target decomposition (CTD). The key is to exploit scatterer physical characteristics, besides scatterer coherence and stability,
Georgios Kouroupis, Vassilis Anastassopoulos   +1 more
openaire   +1 more source

Phase decomposition in polarimetric SAR interferometry

IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998
The authors formulate a new coherent decomposition algorithm for polarimetric SAR interferometry which allows the decomposition of interferometric problems into a set of coherent scattering mechanisms. The proposed algorithm allows the generation of interferograms related to certain independent scattering mechanism and consequently the extraction of ...
K.P. Papathanassiou, S.R. Cloude
openaire   +1 more source

General Polarimetric Model-Based Decomposition for Coherency Matrix

IEEE Transactions on Geoscience and Remote Sensing, 2014
Orientation angle compensation was incorporated into model-based decomposition to cure overestimation of the volume scattering contribution for interpretation of polarimetric synthetic aperture radar (PolSAR) data. The compensation is based on rotating the coherency matrix to minimize the cross-polarization term.
Si-Wei Chen 0001, Xuesong Wang 0003, Shunping Xiao, Motoyuki Sato   +3 more
openaire   +2 more sources

Super-Resolution of Polarimetric SAR Images Based on Target Decomposition and Polarimetric Spatial Correlation

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
Polarimetric SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can
Bin Zou, Huijun Hao, Xingjie Guo
openaire   +1 more source

The effect of desying angle on polarimetric SAR image decomposition

SPIE Proceedings, 2015
Polarimetric image decomposition is nowadays among the most important applications of multi-polarization, multifrequency SAR radar images. With the growth of new satellite missions equipped with fully polarimetric modes there is a strong need for accurate methods and for new approaches to handle the huge data coming from different airborne and space ...
Boussad Azmedroub, Mounira Ouarzeddine, Boularbah Souissi   +2 more
openaire   +2 more sources

On the use of polarimetric orientation for POLSAR classification and decomposition

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Discrimination or separation of built-up areas is an issue in urban area analysis using POLSAR data. In this study, two polarization orientation angles from two look directions (ascending and descending orbits) are used. ALOS PALSAR data analysis shows that single look direction is insufficient and possibly leads misunderstandings.
openaire   +1 more source

Model-based polarimetric decomposition using PolInSAR coherence

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
A volume scattering model utilizing polarimetric SAR interferometry (PolInSAR) coherence is proposed. The new model is more adaptive and better fit for both forest and skew-oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. The advantage of the proposed method is demonstrated by E-SAR PolInSAR data.
Si-Wei Chen 0001, Motoyuki Sato
openaire   +2 more sources