The Feasibility of a Compact Polarimetric Synthetic Aperture Radar for Polsar and Polinsar Applications

نویسندگان

  • Marco Lavalle
  • Eric Pottier
  • Domenico Solimini
  • Yves-Louis Desnos
چکیده

Nowadays it is widely recognized that SAR polarimetry (POLSAR) and polarimetric SAR interferometry (POLINSAR) add a valuable contribution to promising applications in many fields of remote sensing. SAR polarimetry uses the information embedded in the polarization state of electromagnetic waves scattered by the target; as an example, this technique has been used for vegetation mapping, classification and bio-physical parameters retrieval. POLINSAR technique combines SAR polarimetry and SAR interferometry and associates a scattering phase center to each resolution cell. The interferometric phase at different polarizations can yield information on the height of the target in the cell through suitable scattering models [1, 2]. With reference to forested areas, promising applications of this technique are biomass estimation and multilayer topographic information retrieval [3]. Both POLSAR and POLINSAR require full polarimetric (FP) SAR sensors and interferometric acquisitions. Full polarimetry from space implies system constraints to cope with data downloading rate, size of the processed swath and power consumption. To overcome these limiting factors, a new approach for SAR polarimetry, called compact polarimetry (CP), has been proposed. In the CP architecture, the SAR transmits either a circularly polarized wave (π/2 mode) or a linearly polarized one oriented at 45 degrees (π/4 mode), and receives at both horizontal and vertical polarization. A central issue in remote sensing is to assess the performance of a CP SAR sensor with respect to a fully polarimetric configuration.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Three-stage inversion improvement for forest height estimation using dual-PolInSAR data

This paper addresses an algorithm for forest height estimation using single frequency single baseline dual polarization radar interferometry data. The proposed method is based on a physical two layer volume over ground model and is represented using polarimetric synthetic aperture radar interferometry (PolInSAR) technique. The presented algorithm provides the opportunity to take advantages of t...

متن کامل

Polarimetric Radar Remote Sensing

Radar Polarimetry and Polarimetric SAR Interferometry represent the current culmination in ‘Microwave Remote Sensing’ technology based on the Antennas, Propagation, Radar and Systems. The purpose and procedure of polarimetry and polarimetric interferometry are shown in Fig. 1. With polarimetric radar sensing, it is possible to carry out 1) detection of targets, 2) decomposition of scattering me...

متن کامل

Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach

In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which cont...

متن کامل

Palarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm

Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...

متن کامل

Classification of Terrain by Implementing the Correlation Coefficient in the Circular Polarization Basis Using X-Band POLSAR Data

Classification of terrain is one of the most important applications of Polarimetric Synthetic Aperture Radar (POLSAR) image analysis. This paper presents a simple method to classify terrain by the use of the correlation coefficients in the circular polarization basis together with the total power of the scattering matrix in the X-band. The reflection symmetry condition that the co-polarized and...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009