List of Tables

LIST OF TABLES

Table 1: Premises of each of the nine classes.
Table 2: Grey levels of each pixel of the higher sample of class 3 in spectral band MSS4.
Table 3: Grey levels of each pixel of the lower sample of class 3 in spectral band MSS4.
Table 4: Distribution of the pixels by level of grey for the samples of class 3 in spectral band MSS4.
Table 5: Classification of spectral band MSS4.
Table 6: Classification of spectral band MSS5.
Table 7: Classification of spectral band MSS6.
Table 8: Classification of spectral band MSS7.
Table 9: Matrix of inter-classes confusion in percentages following the Bayes' classification of spectral band MSS4.
Table 10: Matrix of inter-classes confusion in percentages following the Bayes' classification of spectral band MSS5.
Table 11: Matrix of inter-classes confusion in percentages following the Bayes' classification of spectral band MSS6.
Table 12: Matrix of inter-classes confusion in percentages following the Bayes' classification of spectral band MSS7.
Table 13: Matrix of costs T.
Table 14: Matrix of probabilities attributed by each source for the membership of an object to each class.
Table 15: Matrix of weights.
Table 16: Errors of assignment.
Table 17: Comparison of the main formulae of possibility theory with those of probability theory.
Table 18: Conjunctive fusion of spectral bands MSS4 to MSS7.
Table 19: Matrix of inter-classes confusion in percentages relatively to the classification after conjunctive fusion of spectral bands MSS4 to MSS7.
Table 20: Conjunctive fusion of spectral bands MSS4 to MSS7 and of out-image distance to roads and plateaux.
Table 21: Matrix of inter-classes confusion in percentage due to classification using conjunctive fusion of spectral bands MSS4 to MSS7 and out-image data distance to roads and plateaux.
Table 22: Conjunctive fusion of spectral bands MSS4 to MSS7 and of out-image data distance to roads, plateaux, valleys, slope orientation, slope steepness, crests, irrigation, DEM and distance to the urban areas
Table 23: Matrix of inter-classes confusion in percentage due to classification using conjunctive fusion of spectral bands MSS4 to MSS7 and of out-image data distance to roads, plateaux, valleys, slope orientation, slope steepness, crests, irrigation, DEM and distance to urban areas
Table 24: Disjunctive fusion of the spectral bands MSS4 to MSS7.
Table 25: Disjunctive fusion of the spectral bands MSS4 to MSS7 and out-image data distance to road, plateau, valleys, slope orientation, slope steepness, crests, irrigation, DEM and distance to urban areas.
Table 26: Matrix of inter-classes confusion in percentages relatively to the classification after disjunctive fusion of spectral bands MSS4 to MSS7.
Table 27: Matrix of inter-classes confusion in percentages relatively to the classification after disjunctive fusion of the spectral bands MSS4 to MSS7 and out-image data distance to road, plateau, valleys, slope orientation, slope steepness, crests, irrigation, DEM and distance to urban areas.
Table 28: Adaptive fusion of spectral bands MSS4 to MSS7.
Table 29: Adaptive fusion of spectral bands MSS4 to MSS7 and of out-image data distance to roads, plateaux, valleys, slope orientation, steepness of the slopes, crests, irrigation, DEM and distance to the urban areas
Table 30: Matrix of inter-classes confusion in percentage due to classification after adaptive fusion of spectral bands MSS4 to MSS7.
Table 31: Matrix of inter-classes confusion in percentage due to classification using adaptive fusion of spectral bands MSS4 to MSS7 and of out-image data distance to roads, plateaux, valleys, slope orientation, slope steepness, crests, irrigation, DEM and distance to urban areas
Table 32: Example of possibility measures sorted by decreasing order for a given pixel x.
Table 33: Quantified adaptive fusion of the spectral bands MSS4 to MSS7.
Table 34: Quantified adaptive fusion of the spectral bands MSS4 to MSS7 and out-image data distance to roads, plateaux, vales, slope orientation, slope steepness, edges, irrigation, DEM and distance to urban areas.
Table 35: Inter-class confusion matrix relative to classification after fusion of the four spectral bands: MSS4 to MSS7, by means of quantified adaptive fusion.
Table 36: Inter-classes confusion matrix, in percentages, relating to classification after fusion by quantified adaptive fusion of the spectral bands MSS4 to MSS7 and out-image data: distance to roads, plateaux, vales, slope orientation, slope steepness, edges, irrigation, DEM and distance to urban areas.
Table 37: Theoretical image of the ``ideal'' distribution of the classes.
Table 38: Fusion by priority of groups K₁ (``card of the areas favourables to each class'') and K₂ (the 4 spectral bands MSS4 to MSS7).
Table 39: Quantified adaptive fusion of the 4 spectral bands and of the source ``card of the areas favourable to each source''.
Table 40: Inter-class confusion matrix relative to the ``card of the areas favourable to each source''.
Table 41: Inter-class confusion matrix (percentages) relative to classification after fusion by priority of groups K₁ (``card of the areas favourables to each class'') and K₂ (the 4 spectral bands MSS4 to MSS7).
Table 42: Inter-class confusion matrix (percentages) relative to classification after adaptive quantified fusion of MSS4 to MSS7 spectral bands and of the source ``card of the areas favourables to each class''.
Table 43: Example of belief allotted to the occurrence of the colour of a ball.
Table 44: Example of body of evidence over the reference set of suspects $\Omega = \{Peter, John, Mary\}$ .
Table 45: Fusion by Dempster-Shafer's rule of four spectral bands MSS4 to MSS7).
Table 46: Inter-class confusion matrix relative to classification after fusion of the four spectral bands: MSS4 to MSS7, by means of Dempster-Shafer's rule.
Table 47: Fusion by Dempster-Shafer's rule of the spectral bands MSS4 to MSS7 and out-image data: distance to roads, plateaux, vales, slope orientation, slope steepness, edges, irrigation, MNT and distance to urban areas.
Table 48: Inter-classes confusion matrix, in percentages, relating to classification after fusion by Dempster-Shafer's rule of the spectral bands MSS4 to MSS7 and out-image data: distance to roads, plateaux, vales, slope orientation, slope steepness, edges, irrigation, MNT and distance to urban areas.

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