Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 723-730, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/723/2016/
doi:10.5194/isprs-archives-XLI-B7-723-2016
 
21 Jun 2016
PANSHARPENING ON THE NARROW VNIR AND SWIR SPECTRAL BANDS OF SENTINEL-2
A. D. Vaiopoulos and K. Karantzalos Remote Sensing Laboratory, National Technical University of Athens HeroonPolytechniou 9, Zographos, 15780, Greece
Keywords: Fusion, Benchmark, Image quality indexes, Validation, QNR, Q4, UIQI Abstract. In this paper results from the evaluation of several state-of-the-art pansharpening techniques are presented for the VNIR and SWIR bands of Sentinel-2. A procedure for the pansharpening is also proposed which aims at respecting the closest spectral similarities between the higher and lower resolution bands. The evaluation included 21 different fusion algorithms and three evaluation frameworks based both on standard quantitative image similarity indexes and qualitative evaluation from remote sensing experts. The overall analysis of the evaluation results indicated that remote sensing experts disagreed with the outcomes and method ranking from the quantitative assessment. The employed image quality similarity indexes and quantitative evaluation framework based on both high and reduced resolution data from the literature didn’t manage to highlight/evaluate mainly the spatial information that was injected to the lower resolution images. Regarding the SWIR bands none of the methods managed to deliver significantly better results than a standard bicubic interpolation on the original low resolution bands.
Conference paper (PDF, 2803 KB)


Citation: Vaiopoulos, A. D. and Karantzalos, K.: PANSHARPENING ON THE NARROW VNIR AND SWIR SPECTRAL BANDS OF SENTINEL-2, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 723-730, doi:10.5194/isprs-archives-XLI-B7-723-2016, 2016.

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