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Evaluation of PolInSAR Observables for Crop-Type Mapping Using Bistatic TanDEM-X Data

Romero-Puig, Noelia and Lopez-Sanchez, Juan M. and Busquier, Mario (2022) Evaluation of PolInSAR Observables for Crop-Type Mapping Using Bistatic TanDEM-X Data. IEEE Geoscience and Remote Sensing Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2022.3175689. ISSN 1545-598X.

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Official URL: https://ieeexplore.ieee.org/document/9775963/media#media


The contribution of Polarimetric SAR Interferometry (PolInSAR) observables to crop-type classification is investigated in this letter. The focus is set on characteristic parameters of the Coherence Region (CoRe), i.e. the representation in the polar plot of the PolInSAR data. For this purpose, time series of dual-pol HH-VV single-pass TanDEM-X bistatic data acquired over an agricultural area in Spain are exploited. In the experiment, up to 13 different crop types are evaluated. Crop classification is performed by means of the well-known Random Forest algorithm. The retrieved accuracy metrics highlight the potential of the evaluated PolInSAR descriptors for this application. Some PolInSAR features have proven to be enough representative of the scene, such as the Trace Coherence, which yields a classification accuracy of 75% and 87% at pixel and field level, respectively, on its own. Using all the PolInSAR parameters jointly as input features, classification reaches around 90% and 94% accuracy at pixel and field level, respectively. However, there are some PolInSAR feature subsets, e.g. the coherence measured at the Pauli channels or the foci of the ellipse which represents the CoRe, which yield accuracy levels very close to these maxima. These results demonstrate the suitability of the PolInSAR parameters for crop-type classification. Results are further improved when both polarimetric and PolInSAR features are combined, reaching 94% and 96% accuracy at pixel and field level, respectively.

Item URL in elib:https://elib.dlr.de/186494/
Document Type:Article
Title:Evaluation of PolInSAR Observables for Crop-Type Mapping Using Bistatic TanDEM-X Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Romero-Puig, NoeliaGerman Aerospace Center (DLR)https://orcid.org/0000-0002-7661-7563UNSPECIFIED
Lopez-Sanchez, Juan M.University of Alicantehttps://orcid.org/0000-0002-4216-5175UNSPECIFIED
Busquier, MarioUniversity of AlicanteUNSPECIFIEDUNSPECIFIED
Date:17 May 2022
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Agriculture, Classification, Crop-type, Polarimetric SAR Interferometry, TanDEM-X, Trace Coherence
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Polarimetric SAR Interferometry HR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Romero Puig, Noelia
Deposited On:09 Jun 2022 07:17
Last Modified:09 Jun 2022 07:17

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