Page 11 - Digital Analysis of Remotely Sensed Imagery
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x    Co n t e n t s


                  5  Image Geometric Rectification . . . . . . . . . . . . . . . . . . .   143
                       5.1  Sources of Geometric Distortion . . . . . . . . . . . . .   144
                               5.1.1  Errors Associated with the Earth . . . .   144
                               5.1.2  Sensor Distortions  . . . . . . . . . . . . . . . .   147
                               5.1.3  Errors Associated with the Platform .   149
                               5.1.4  Nature of Distortions . . . . . . . . . . . . . .   151
                       5.2  Projection and Coordinate Systems . . . . . . . . . .   151
                               5.2.1  UTM Projection . . . . . . . . . . . . . . . . . . .   152
                               5.2.2  NZMG . . . . . . . . . . . . . . . . . . . . . . . . . .   153

                       5.3  Fundamentals of Image Rectification . . . . . . . . .   156
                               5.3.1  Common Terms. . . . . . . . . . . . . . . . . . .   156
                               5.3.2  Image Geometric Transformation  . . .   156
                               5.3.3  GCPs in Image Transformation . . . . .   158
                               5.3.4  Sources of Ground Control . . . . . . . . .   160

                      5.4  Rectification Models . . . . . . . . . . . . . . . . . . . . . . .   161
                             5.4.1  Affine Model . . . . . . . . . . . . . . . . . . . . .   161

                             5.4.2  Sensor-Specific Models . . . . . . . . . . . .   161

                               5.4.3  RPC Model. . . . . . . . . . . . . . . . . . . . . . .   162
                               5.4.4  Projective Transformation . . . . . . . . . .   162
                               5.4.5  Direct Linear Transform Model . . . . .   163
                               5.4.6  Polynomial Model . . . . . . . . . . . . . . . .   164
                               5.4.7  Rubber-Sheeting Model . . . . . . . . . . . .   164
                       5.5  Polynomial-Based Image Rectification . . . . . . . .   165

                               5.5.1  Transform Equations . . . . . . . . . . . . . .   165
                               5.5.2  Minimum Number of GCPs . . . . . . . .   167
                               5.5.3  Accuracy of Image Transform . . . . . . .   168
                               5.5.4  Creation of the Output Image . . . . . . .   172
                       5.6  Issues in Image Georeferencing . . . . . . . . . . . . . .   176
                               5.6.1  Impact of the Number of GCPs . . . . .   178
                               5.6.2  Impact of Image Resolution  . . . . . . . .   180
                               5.6.3  Impact of GCP Quality  . . . . . . . . . . . .   181
                      5.7  Image Orthorectification. . . . . . . . . . . . . . . . . . . .   183

                             5.7.1   Perspective versus Orthographic
                                           Projection . . . . . . . . . . . . . . . . . . . . . . . .   184
                               5.7.2  Methods of Image Orthorectifi cation    185
                             5.7.3  Procedure of Orthorectification . . . . .   188

                       5.8  Image Direct Georeferencing . . . . . . . . . . . . . . . .   192
                               5.8.1  Transformation Equation . . . . . . . . . . .   192
                               5.8.2  Comparison with Polynomial Model    195
                       5.9  Image Subsetting and Mosaicking . . . . . . . . . . .   197
                               5.9.1  Image Subsetting  . . . . . . . . . . . . . . . . .   197
                               5.9.2  Image Mosaicking  . . . . . . . . . . . . . . . .   199
                     References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   201
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