Dadras Javan, Farzaneh und Samadzadegan, Farhad und Reinartz, Peter (2013) Spatial Quality Assessment of Pan-sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric. Remote Sensing, 5, Seiten 6539-6559. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs5126539. ISSN 2072-4292.
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Offizielle URL: http://www.mdpi.com/journal/remotesensing
Kurzfassung
Most of the existing pan-sharpening quality assessment methods consider only the spectral quality and there are just few investigations, which concentrate on spatial characteristics. Spatial quality of pan-sharpened images is vital in elaborating the capability of object extraction, identification, or reconstruction, especially regarding man-made objects and their application for large scale mapping in urban areas. This paper presents an Edge based image Fusion Metric (EFM) for spatial quality evaluation of pan-sharpening in high resolution satellite imagery. Considering Modulation Transfer Function (MTF) as a precise measurement of edge response, MTFs of pan-sharpened images are assessed and compared to those obtained from the original multispectral or panchromatic images. Spatial quality assessment of pan-sharpening is done by comparison of MTF curves of the pan-sharpened and reference images. The capability of the proposed method is evaluated by quality assessment of two different residential and industrial urban areas of WorldView-2 pan-sharpened images. Obtained results clearly show the wide spatial discrepancy in quality of Pan-sharpened images, resulting from different fusion methods, and confirm the need for spatial quality assessment of fused products. The results also prove the capability of the proposed EFM as a powerful tool for evaluation and comparison of different image fusion techniques and products.
elib-URL des Eintrags: | https://elib.dlr.de/84759/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | Spatial Quality Assessment of Pan-sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric | ||||||||||||||||
Autoren: |
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Datum: | 3 Dezember 2013 | ||||||||||||||||
Erschienen in: | Remote Sensing | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Ja | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||
Band: | 5 | ||||||||||||||||
DOI: | 10.3390/rs5126539 | ||||||||||||||||
Seitenbereich: | Seiten 6539-6559 | ||||||||||||||||
Herausgeber: |
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Verlag: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Fusion, high resolution satellite imagery, pan-sharpening, quality as assessment, MTF, edge-based | ||||||||||||||||
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 - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||
Hinterlegt von: | Reinartz, Prof. Dr.. Peter | ||||||||||||||||
Hinterlegt am: | 23 Okt 2013 11:47 | ||||||||||||||||
Letzte Änderung: | 14 Dez 2019 04:25 |
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