On Segment Based Image Fusion
نویسنده
چکیده
In this paper, we will investigate techniques for the combination of image fusion and segment based image analysis. We describe a color preserving iconic fusion with subsequent segmentation and classification, a ‘cookie cutter’ approach for the integration of high resolution RGB and low resolution hyperspectral image data and a decision based fusion technique, that combine high resolution panchromatic data with multispectral images. We will show that the combination of segment based image analysis and fusion techniques at iconic, feature and decision level can indeed improve the final analysis and can be seen as a first step to an automated processing line.
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