Polarimetric Characteristics of Fully Polarization Sar Image Observed by Ground-based Sar System
نویسندگان
چکیده
Ground-Based SAR system that obtains a high resolution 2D image on the ground is a new type of SAR system such as air-borne and space-borne SAR. The measured fully polarimetric SAR images with HH, HV, VH, and VV were focused using the Deramp-FFT (DF) algorithm in terms of their image formation principles. SAR polarimetry technique is concerned with control of the polarimetric properties of radar waves and the extraction of target properties from the behaviour of scattered waves from a target. In this study, we processed the polarimetric SAR data obtained by the GB-SAR system to investigate the polarimetric characteristics of terrain targets such as trees, grass and several permanent scatterers located in the test site. The polarimetric classification images using H/A/Alpha polarimetric decomposition and Wishart algorithms were extracted and discussed for deriving a scattering property according to different target types.
منابع مشابه
Preliminary Results of Polarimetric Characteristics for C-band Quad-Polarization GB-SAR Images Using H/A/a Polarimetric Decomposition Theorem
The main objective of this study is to analyse the polarimetric characteristics of the various terrain targets by ground-based polarimetric SAR system and to confirm the compatible and effective polarimetric analysis method to reveal the polarization properties of different terrain targets by the GB-SAR. The fully polarimetric GB-SAR data with HH, HV, VH, and VV components were focused using th...
متن کاملThe Extended Sub-look Analysis In Polarimetric SAR Data For Ship Detection
The monitoring of maritime areas with remote sensing is essential for security reasons and also for the conservation of environment. The synthetic aperture radar (SAR) can play an important role in this matter by considering the possibility of acquiring high-resolution images at nighttime and under cloud cover. Recently, the new approaches based on the sub-look analysis for preserving the infor...
متن کاملPolarimetric SAR Image Classification with High Frequency Component Derived from Wavelet Multi Resolution Analysis: MRA
A method for polarimetric Synthetic Aperture Radar: SAR image classification with high frequency component derived from wavelet Multi-Resolution Analysis: MRA is proposed. Although it is well known that polarization signature derived from fully polarized SAR data is useful for SAR image classifications, it is still unknown how to utilize the polarization signature in the image classification. H...
متن کاملUnsupervised Classification of Fully Polarimetric SAR Image Based on Polarimetric Features and Spatial Features
Polarimetric SAR (PolSAR) has played more and more important roles in earth observation. Polarimetric SAR image classification is one of the key problems in the PolSAR image interpretation. In this paper, based on the scattering properties of fully polarimetric SAR data, combing the statistical characteristics and neighborhood information, an efficient unsupervised method of fully polarimetric ...
متن کاملSynthetic Aperture Radar for oil spill monitoring: a brief review
In this paper, a review of Synthetic Aperture Radar (SAR)-based techniques, for oil slick at sea observation is proposed, focusing in particular on polarimetric approaches. In fact, marine oil pollution monitoring is a topic of great applicative and scientific relevance and in such a context, among all remote sensing sensors, SAR represents a fundamental tool due to its almost all-weather and a...
متن کامل