Polarimetric SAR interferometry-based decomposition modelling for reliable scattering retrieval

Neeraj Agrawal; Shashi Kumar; Valentyn Tolpekin

doi:10.1117/12.2223977

5 May 2016 Polarimetric SAR interferometry-based decomposition modelling for reliable scattering retrieval

Neeraj Agrawal, Shashi Kumar, Valentyn Tolpekin

Proceedings Volume 9877, Land Surface and Cryosphere Remote Sensing III; 987708 (2016) https://doi.org/10.1117/12.2223977
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India

Abstract

Fully Polarimetric SAR (PolSAR) data is used for scattering information retrieval from single SAR resolution cell. Single SAR resolution cell may contain contribution from more than one scattering objects. Hence, single or dual polarized data does not provide all the possible scattering information. So, to overcome this problem fully Polarimetric data is used. It was observed in previous study that fully Polarimetric data of different dates provide different scattering values for same object and coefficient of determination obtained from linear regression between volume scattering and aboveground biomass (AGB) shows different values for the SAR dataset of different dates. Scattering values are important input elements for modelling of forest aboveground biomass. In this research work an approach is proposed to get reliable scattering from interferometric pair of fully Polarimetric RADARSAT-2 data. The field survey for data collection was carried out for Barkot forest during November 10th to December 5th, 2014. Stratified random sampling was used to collect field data for circumference at breast height (CBH) and tree height measurement. Field-measured AGB was compared with the volume scattering elements obtained from decomposition modelling of individual PolSAR images and PolInSAR coherency matrix. Yamaguchi 4-component decomposition was implemented to retrieve scattering elements from SAR data. PolInSAR based decomposition was the great challenge in this work and it was implemented with certain assumptions to create Hermitian coherency matrix with co-registered polarimetric interferometric pair of SAR data. Regression analysis between field-measured AGB and volume scattering element obtained from PolInSAR data showed highest (0.589) coefficient of determination. The same regression with volume scattering elements of individual SAR images showed 0.49 and 0.50 coefficients of determination for master and slave images respectively. This study recommends use of interferometric PolSAR data for reliable scattering retrieval.

Citation Download Citation

Neeraj Agrawal, Shashi Kumar, and Valentyn Tolpekin "Polarimetric SAR interferometry-based decomposition modelling for reliable scattering retrieval", Proc. SPIE 9877, Land Surface and Cryosphere Remote Sensing III, 987708 (5 May 2016); https://doi.org/10.1117/12.2223977

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available