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Mansour, Islam und Papathanassiou, Konstantinos und Haensch, Ronny und Hajnsek, Irena (2023) Machine Learning in Model-Based Forest Height Inversion. In: POLinSAR Online Abstracts. Proceedings of the ESA POLinSAR Workshop, 2023. ESA POLinSAR Workshop, 2023-06-19 - 2023-06-23, Toulouse, France.
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Kurzfassung
Model-based (PM) forest height inversion from Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) measurements is today an established application demonstrated and validated at large scales for a wide variety of boreal and tropical forest sites at different frequencies (from X- down to P- band) [1], [2]. Although the estimation performance obtained may depend on the individual observation spaces in each case, it is generally (very) convincing. However, as with any model-based inversion approach, there are inherent limitations that can restrict expected performance depending on the individual case [3].
| elib-URL des Eintrags: | https://elib.dlr.de/195246/ | ||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
| Titel: | Machine Learning in Model-Based Forest Height Inversion | ||||||||||||||||||||
| Autoren: |
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| Datum: | Juni 2023 | ||||||||||||||||||||
| Erschienen in: | POLinSAR Online Abstracts | ||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||
| Open Access: | Ja | ||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||
| Verlag: | Proceedings of the ESA POLinSAR Workshop, 2023 | ||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||
| Stichwörter: | Polarimetric SAR;Multimodal Data;Fusion-based inversion; Machine learning;Hybrid modeling; Forest height estimation; Forests; TanDEM-X; ALOS2; | ||||||||||||||||||||
| Veranstaltungstitel: | ESA POLinSAR Workshop | ||||||||||||||||||||
| Veranstaltungsort: | Toulouse, France | ||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
| Veranstaltungsbeginn: | 19 Juni 2023 | ||||||||||||||||||||
| Veranstaltungsende: | 23 Juni 2023 | ||||||||||||||||||||
| Veranstalter : | ESA | ||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Polarimetrische SAR-Interferometrie HR | ||||||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte Institut für Hochfrequenztechnik und Radarsysteme > SAR-Technologie | ||||||||||||||||||||
| Hinterlegt von: | Mansour, Islam | ||||||||||||||||||||
| Hinterlegt am: | 03 Jul 2023 07:24 | ||||||||||||||||||||
| Letzte Änderung: | 24 Apr 2024 20:55 |
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