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A novel optimization approach to forest height reconstruction from multi-baseline data

Capozzoli, A. and D’Elia, G. and Liseno, A. and Moreira, A. and Papathanassiou, K.P. (2007) A novel optimization approach to forest height reconstruction from multi-baseline data. In: Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS), p. 4. IEEE. IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2007-07-23 - 2007-07-27, Barcelona, Spain.

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Abstract

The paper deals with the problem of reconstructing the height of forests from polarimetric/multi-baseline SAR data. The approach consists of optimizing an objective functional defined as the distance between the measured data and the data predicted by the model at the actual estimate of the unknowns. We indicate the role of global optimization on the performance of the forest height reconstruction algorithm. As global optimizer, a multilevel single-linkage method, which incorporates a local optimization into the global search, is exploited, thus offering computational efficiency and reliability. The performance of the method are illustrated against numerically simulated data.

Document Type:Conference or Workshop Item (Speech, Paper)
Additional Information:©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Title:A novel optimization approach to forest height reconstruction from multi-baseline data
Authors:
AuthorsInstitution or Email of Authors
Capozzoli, A.Università di Napoli Federico II
D’Elia, G.Università di Napoli Federico II
Liseno, A.Università di Napoli Federico II
Moreira, A.UNSPECIFIED
Papathanassiou, K.P.UNSPECIFIED
Date:July 2007
Journal or Publication Title:Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
In ISI Web of Science:No
Page Range:p. 4
Publisher:IEEE
Status:Published
Keywords:Keywords - Forest height reconstruction; Multi-track; Fully polarimetric data.
Event Title:IEEE Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Barcelona, Spain
Event Type:international Conference
Event Dates:2007-07-23 - 2007-07-27
Organizer:IEEE Geoscience and Remote Sensing Society
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Prosmart, Smart-SAR (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Microwaves and Radar Institute > SAR Technology
Deposited By: Prof.Dr. Alberto Moreira
Deposited On:30 Jul 2007
Last Modified:12 Dec 2013 20:26

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