Fusion or merging or pansharpening is the digital processing that combines the high spatial and multispectral information to obtain a fused multispectral image that retains the spatial information from the high resolution panchromatic image, as well as the spectral characteristics of the lower resolution multispectral image. Many fusion algorithms were developed and tested on different commerci...

This paper studies a new Bayesian optimization algorithm for fusing hyperspectral and multispectral images. The hyperspectral image is supposed to be obtained by blurring and subsampling a high spatial and high spectral target image. The multispectral image is modeled as a spectral mixing version of the target image. By introducing appropriate priors for parameters and hyperparameters, the fusi...

Image data fusion is the process of setting together information gathered by different heterogeneous sensors, mounted on different platforms. This paper presents an effective multi-resolution image data fusion methodology, which is based on utilizing the Principal Component Analysis “PCA” and Histogram Specification “HS” techniques. The first principal component “PCA1” involves much of the vari...

A new watershed-based technique is proposed for the segmentation of multiresolution remote-sensing images. These images are composed by a high-resolution panchromatic band and a low-resolution multispectral set. To achieve a segmentation with the high resolution of the panchromatic image and the high accuracy granted by the spectral information, the two components are processed jointly, using b...

Limits of stereo processing in photogrammetry using image matching techniques are often due to very low capabilities of those procedures regarding aspects of interpretation. For example, if matching aims at recovering terrain surface it would be very helpful to know whether the processed area belongs to an urban area, agricultural land, forest region or other thematic object classes. This is on...

There is great interest in the development of automatic geometric correction systems for satellite images. A fully automatic system, based exclusively on the identification of tie points (image to image control points) by image matching needs to use efficient selection and validation methods. Four Tie Point Suitability Indices (TPSI) are proposed to select the most suitable areas in an image to...