IEEE Transactions on Geoscience and Remote Sensing · 2010 · 555 citations · 38 references
EngineeringMultispectral ImagingSpatiotemporal Data FusionPan ImageMulti-image FusionEarth ScienceSocial SciencesImage AnalysisPartial ReplacementMultimodal Sensor FusionSpatial ResolutionSatellite ImagingSynthetic Aperture RadarComponent SubstitutionData FusionGeographySpectral ImagingSignal ProcessingFeature FusionHyperspectral ImagingComputer VisionRadarRemote SensingMulti-focus Image Fusion
Preserving spectral fidelity while enhancing spatial resolution remains a key challenge in satellite image fusion, and existing algorithms still leave room for improvement. The study proposes a new adaptive fusion method applicable to multiple sensor types. The method merges a high‑resolution panchromatic image with a multispectral image by generating synthetic high‑ and low‑resolution component images through partial replacement and injecting high‑frequency details using a statistical ratio, and is tested on IKONOS‑2, QuickBird, LANDSAT ETM+, and SPOT‑5 data. Experiments demonstrate that the proposed method reduces spectral distortion, preserves spatial detail, yields higher fusion quality than several existing techniques, and performs efficiently across different satellite sensors.
Preservation of spectral information and enhancement of spatial resolution are regarded as important issues in remote sensing satellite image fusion. In previous research, various algorithms have been proposed. Although they have been successful, there are still some margins of spatial and spectral quality that can be improved. In addition, a new method that can be used for various types of sensors is required. In this paper, a new adaptive fusion method based on component substitution is proposed to merge a high-spatial-resolution panchromatic (PAN) image with a multispectral image. This method generates high-/low-resolution synthetic component images by partial replacement and uses statistical ratio-based high-frequency injection. Various remote sensing satellite images, such as IKONOS-2, QuickBird, LANDSAT ETM+, and SPOT-5, were employed in the evaluation. Experiments showed that this approach can resolve spectral distortion problems and successfully conserve the spatial information of a PAN image. Thus, the fused image obtained from the proposed method gave higher fusion quality than the images from some other methods. In addition, the proposed method worked efficiently with the different sensors considered in the evaluation.
38
A universal image quality index
Zhou Wang, Alan C. Bovik · IEEE Signal Processing Letters · 2002 · 5.7K citations