Current civilian/military surveillance and reconnaissance systems require improved capability to enable the coregistration of larger images combining enhanced temporal, spatial, and spectral resolutions. Traditional, manual exploitation techniques are not able to cope successfully with this avalanche of data to be processed and analyzed. Automated image exploitation tools can be used if images ...

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

Accurate georeferencing is essential if forest indicators, such as timber volume, are to be modelled and predicted area-wide by establishing a linkage between local inventories remote sensing data. Nevertheless, due inaccuracies in global navigation satellite system (GNSS) measurements under closed canopy, determining the exact position of sample-plots inventory major challenge. In this study d...

In this paper, we propose three novel and important methods for the registration of histological images for 3D reconstruction. First, possible intensity variations and nonstandardness in images are corrected by an intensity standardization process which maps the image scale into a standard scale where the similar intensities correspond to similar tissues meaning. Second, 2D histological images ...

Dynamic breast magnetic resonance imaging (MRI) commonly acquires T1and T2-weighted images. Joint inspection of both sequences in particular allows to distinguish between benign cyst-type and malignant lesions. However, in routine diagnostics both images are regarded independently, and immediate correlation is prevented by patient motion and tissue deformations. Differences in resolution and in...