IEEE Geoscience and Remote Sensing Letters · 2007 · 56 citations · 10 references
ArtsVisualizationDigital ImagingRemote SensingSensor FusionColor ImagingDigital Image ProcessingImage EnhancementImage FusionMultispectral ImagingColor Image FusionData FusionImage Data FusionMultiresolution Image FusionOptical FusionRemote Sensing Image FusionSatellite Imagery AnalysisSpectral Characteristics
The fast intensity-hue-saturation (IHS) methods can quickly merge massive volumes of data from new satellite imagery. To minimize the color distortion from IHS fusion, Choi used a tradeoff parameter in his new fast IHS approach to control the spatial and spectral resolution of the fused image. However, the method is not general and requires manual adjustment of the tradeoff parameter in order to keep spatial details while preserving spectral characteristics. To tackle this problem, a modified approach that is a tunable IHS-Brovey method is presented in this letter. Experimental results demonstrate that the proposed technique can provide significant improvements over the original method, that is, to achieve a best tradeoff for spatial details and color distortion
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