Change detection approach using evidential fusion of change indices
In this paper, we present fusion and classification process of change indices using multitemporal satellites images in the aim to detect the change of surface states after a flood. This process is performed in the framework of Dempster Shafer Theory (DST), which takes into account the imprecision and the ignorance related to data. We apply this process to a study site located at south west of England, traversed by Severn river, which have undergone in October 2000 an important flood. For the detection of the flood damage, we have used two change indices: difference values and texture evolution. We find that change index fusion overcomes the limits of change mono-index classification.
It is well known that economic globalization for enterprise merging frequently is inevitable, which is the basic premise for making decisions to evaluate enterprises. Therefore the enterprises must choose and use methods of valuation reasonably. However, traditional methods of valuation of target enterprise have flaws. In view of the fact, this paper has constructed a scientific valuation model of target enterprise based on options&game theory in hope of providing instructions for merging practice.