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Forest Classification from TanDEM-X Interferometric Data by means of Multiple Fuzzy Clustering

Martone, Michele and Rizzoli, Paola and Bräutigam, Benjamin and Krieger, Gerhard (2016) Forest Classification from TanDEM-X Interferometric Data by means of Multiple Fuzzy Clustering. European Conference on Synthetic Aperture Radar (EUSAR), 2016-06-06 - 2016-06-09, Hamburg, Germany.

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Abstract

In this paper we introduce a method to derive forest/non-forest maps from TanDEM-X interferometric synthetic aperture radar (InSAR) data, acquired at global scale in stripmap single polarization (HH) mode. Among the several observables systematically provided by the TanDEM-X system, the volume decorrelation, derived from the interferometric coherence, shows to be sensitive and consistent to the particular land cover type, and is therefore used as an input data set for applying a classification method based on a fuzzy clustering algorithm. Since the considered InSAR quantity strongly depends on the geometric acquisition configuration, namely the incidence angle and the interferometric baseline, a multi-clustering classification approach is used. Algorithms for the identification of additional information layers such as urban and water areas are discussed as well, and the mosaicking of multiple acquisitions to improve the resulting accuracy is shortly introduced. The preliminary classification results shown in this paper are very promising for the generation of a global land classification map from TanDEM-X interferometric data as a next future step.

Item URL in elib:https://elib.dlr.de/103593/
Document Type:Conference or Workshop Item (Speech)
Title:Forest Classification from TanDEM-X Interferometric Data by means of Multiple Fuzzy Clustering
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Martone, MicheleUNSPECIFIEDUNSPECIFIED
Rizzoli, PaolaUNSPECIFIEDUNSPECIFIED
Bräutigam, BenjaminUNSPECIFIEDUNSPECIFIED
Krieger, GerhardUNSPECIFIEDUNSPECIFIED
Date:2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-6
Status:Published
Keywords:TanDEM-X, forest classification, clustering
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Hamburg, Germany
Event Type:international Conference
Event Dates:2016-06-06 - 2016-06-09
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Projekt TanDEM-X
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Spaceborne SAR Systems
Microwaves and Radar Institute > Radar Concepts
Deposited By: Martone, Michele
Deposited On:23 Mar 2016 12:24
Last Modified:31 Jul 2019 20:00

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