Sustainable Natural Resources Management Part 3

Tham khảo tài liệu 'sustainable natural resources management part 3', khoa học tự nhiên, công nghệ sinh học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Fuzzy Image Processing Analysis and Visualization Methods for HydrO-Dams and Hydro-Sites Surveillance and Monitoring 17 MapInfrared i j SIR i j 255 _ IR IR i j 7 where IR IR H W represents the intensity of the red component in the infrared image of the current plot. The segmentation result in cold and not cold areas for the infrared plot image given in Figure 6 where the segmented image is presented as a binary image black - not cold white - cold and its associated water infiltration severity degree map are given in Fig. 9. The final processing step is the bimodal fusion of visible and infrared water infiltration severity information. We use the two individual information sources already provided by the independent image processing and analysis stages the visible and infrared image processing to obtain the overall assessment and quantification of the water infiltration amount in the currently analysed plot. Several fusion schemes are available varying from very simple pixel-based to complex ones to perform the information integration from two or more modalities the most used in particular for visible and infrared bimodal information fusion can be found in Yin and Malcolm 2000 O Conaire et al. 2006 . Among these one of the simplest schemes is by weighted averaging of the decisions given by each modality alone at pixel level provided that the visible and infrared image registration was previously performed. Let us denote the decision about the plausibility of presence of a certain event in the spatial position i j in the visible spectrum modality by dVis i j and the decision about the plausibility of presence of the same event in the spatial position i j in the infrared modality by dIR i j . We also consider the weights confidences assigned to each modality denoted by wVis and wIR chosen to satisfy the constraints wvis e 0 1 wjR e 0 1 wvis wir 1. The confidences wVis and wIR assigned to each modality are derived based on expert s knowledge about the relative .

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