Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval

Neeraj Agrawal; Shashi Kumar; V.A. Tolpekin

doi:10.1117/12.2223977

Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval

Neeraj Agrawal, Shashi Kumar, V.A. Tolpekin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Land Surface and Cryosphere Remote Sensing III;
Publisher	SPIE - The International Society for Optical Engineering
Pages	9877-9877
Number of pages	10
DOIs	https://doi.org/10.1117/12.2223977
Publication status	Published - 2016
Event	Conference on Land Surface and Cryosphere Remote Sensing III: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India - New Delhi, India Duration: 4 Apr 2016 → 7 Apr 2016

Conference

Conference	Conference on Land Surface and Cryosphere Remote Sensing III
Country/Territory	India
City	New Delhi
Period	4/04/16 → 7/04/16

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10.1117/12.2223977

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@inproceedings{78cd8581fcdb475c95662be17a97f839,

title = "Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval",

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.",

author = "Neeraj Agrawal and Shashi Kumar and V.A. Tolpekin",

year = "2016",

doi = "10.1117/12.2223977",

language = "English",

pages = "9877--9877",

booktitle = "Land Surface and Cryosphere Remote Sensing III;",

publisher = "SPIE - The International Society for Optical Engineering",

note = "Conference on Land Surface and Cryosphere Remote Sensing III : SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India ; Conference date: 04-04-2016 Through 07-04-2016",

}

Agrawal, N, Kumar, S & Tolpekin, VA 2016, Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval. in Land Surface and Cryosphere Remote Sensing III; . SPIE - The International Society for Optical Engineering, pp. 9877-9877, Conference on Land Surface and Cryosphere Remote Sensing III, New Delhi, India, 4/04/16. https://doi.org/10.1117/12.2223977

Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval. / Agrawal, Neeraj; Kumar, Shashi; Tolpekin, V.A.

Land Surface and Cryosphere Remote Sensing III; . SPIE - The International Society for Optical Engineering, 2016. p. 9877-9877.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval

AU - Agrawal, Neeraj

AU - Kumar, Shashi

AU - Tolpekin, V.A.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

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UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2016/chap/tolpekin_pol.pdf

U2 - 10.1117/12.2223977

DO - 10.1117/12.2223977

M3 - Conference contribution

SP - 9877

EP - 9877

BT - Land Surface and Cryosphere Remote Sensing III;

PB - SPIE - The International Society for Optical Engineering

T2 - Conference on Land Surface and Cryosphere Remote Sensing III

Y2 - 4 April 2016 through 7 April 2016

ER -

Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval

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