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Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric

机译:基于自动估计的基于边缘的度量标准的泛锐化高分辨率卫星影像的空间质量评估

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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.
机译:大多数现有的泛锐化质量评估方法仅考虑频谱质量,并且仅有很少的研究集中在空间特性上。全景图像的空间质量对于提高对象提取,识别或重建的能力至关重要,尤其是在人造对象及其在城市大规模地图绘制中的应用方面。本文提出了一种基于边缘的图像融合度量(EFM),用于评估高分辨率卫星图像中的全锐化的空间质量。将调制传递函数(MTF)视为边缘响应的精确度量,对全锐化图像的MTF进行评估,并将其与从原始多光谱或全色图像获得的MTF进行比较。通过比较全景图像和参考图像的MTF曲线,可以进行全景图像的空间质量评估。通过对WorldView-2全景图像的两个不同的居民区和工业区的质量评估,评估了该方法的能力。获得的结果清楚地表明,由于不同的融合方法而导致的泛锐化图像质量在空间上存在很大差异,并确认需要对融合产品进行空间质量评估。结果还证明了所提出的EFM作为评估和比较不同图像融合技术和产品的有力工具的能力。

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