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Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric
Department of Geomatics, Faculty of Engineering, University of Tehran, North Amir Abaad St., Tehran 14395-515, Iran
Department of Photogrammetry and Image Analysis, Remote Sensing Technology Institute, Aerospace Centre (DLR), Oberpfaffenhofen, D-82234 Weßling, Germany
* Author to whom correspondence should be addressed.
Received: 6 September 2013; in revised form: 23 September 2013 / Accepted: 19 October 2013 / Published: 3 December 2013
Abstract: 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.
Keywords: fusion; pan-sharpening; high resolution satellite imagery; quality as assessment; edge-based
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MDPI and ACS Style
Javan, F.D.; Samadzadegan, F.; Reinartz, P. Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric. Remote Sens. 2013, 5, 6539-6559.
Javan FD, Samadzadegan F, Reinartz P. Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric. Remote Sensing. 2013; 5(12):6539-6559.
Javan, Farzaneh D.; Samadzadegan, Farhad; Reinartz, Peter. 2013. "Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric." Remote Sens. 5, no. 12: 6539-6559.