Bettinelli, Juan und Efremenko, Dmitry (2026) Background Suppression in EnMAP Methane Retrieval Maps with a Gated U-Net Denoiser. Remote Sensing, 18 (19), Seite 3304. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs18193304. ISSN 2072-4292.
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Offizielle URL: https://www.mdpi.com/2072-4292/18/19/3304
Kurzfassung
Highlights What are the main findings? A multiplicatively gated U-Net suppresses positive background artifacts in EnMAP methane-enhancement maps while ensuring that the output cannot create or amplify positive signals absent from the raw matched-filter map. On held-out semi-synthetic data, the method reduced mean absolute background enhancement by approximately 80% and the false-positive rate by 72%, while retaining 70.4% of the injected plume-enhancement sum. Weak plume margins remained the main limitation. What are the implications of the main findings? Application to an independent EnMAP controlled-release acquisition retained a coherent enhancement at the documented source while suppressing distributed background texture, providing initial evidence of transfer to real observations. The retrieval-independent, non-amplifying design provides a practical framework for producing cleaner methane-enhancement maps alongside existing retrieval and plume-detection workflows, with broader real-plume evaluation as the next step toward operational use.
| elib-URL des Eintrags: | https://elib.dlr.de/227248/ | ||||||||||||
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| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
| Titel: | Background Suppression in EnMAP Methane Retrieval Maps with a Gated U-Net Denoiser | ||||||||||||
| Autoren: |
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| Datum: | 24 September 2026 | ||||||||||||
| Erschienen in: | Remote Sensing | ||||||||||||
| Referierte Publikation: | Ja | ||||||||||||
| Open Access: | Ja | ||||||||||||
| Gold Open Access: | Ja | ||||||||||||
| In SCOPUS: | Ja | ||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||
| Band: | 18 | ||||||||||||
| DOI: | 10.3390/rs18193304 | ||||||||||||
| Seitenbereich: | Seite 3304 | ||||||||||||
| Herausgeber: |
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| Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||
| Name der Reihe: | Quantifying Greenhouse Gases Emissions from Remote Sensing Perspective | ||||||||||||
| ISSN: | 2072-4292 | ||||||||||||
| Status: | veröffentlicht | ||||||||||||
| Stichwörter: | methane; EnMAP; imaging spectroscopy; matched filter; neural network; denoising; false positives; quality masks; hard negatives; remote sensing | ||||||||||||
| 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 - Spektroskopische Verfahren der Atmosphäre | ||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Atmosphärenprozessoren | ||||||||||||
| Hinterlegt von: | Bettinelli, Juan | ||||||||||||
| Hinterlegt am: | 28 Sep 2026 12:47 | ||||||||||||
| Letzte Änderung: | 28 Sep 2026 12:47 |
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