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140    Cha pte r  F o u r


                       IDRISI    ERDAS      ENVI    ER-Mapper  PCI
           Functions   Andes     Imagine 9.1  4.4   7.1       Geomatica 10
           Display and   RGB24   Stacked,   Versatile  Powerful  Best in its
           output      color     flexible                     own format
                       possible
           3D capability  Yes    Yes        Yes     Yes       Yes
           Data                  Yes        Yes     Yes       Yes
           preparation
           orthoimage
           Image                 Yes        Yes     Up to 100   Oblique
           mosaicking                               images    images
                                                              possible
           Image       limited   PCA, RGB,   Extensive  PCA, RGB,   Limited
           transform             Fourier            FFT, T-C
           Classification  Yes   Yes        Yes     Yes       Yes
           (Un)supervised
           Hyperspectral         Yes        Yes
           Neural net  Yes                  Yes
           Knowledge             Yes
           Subpixel              Yes        Yes
           Decision tree  Yes
           Object oriented                  Yes
           Change      Excellent  Raw image         Limited
           detection
           Accuracy              Yes                Yes
           assessment
           User interface  GUI   GUI Modeler  SPEAR   Use of   GUI, command
                                            tools   wizards   line
           Ease of     Online    Ubiquitous  Improved  Batch/  Efficient
           operation   document  help button        scripting
                                                    language
          TABLE 4.1  Comparison of the Functions of Major Image Analysis Systems




                   The biggest advantage of ER Mapper is its image web server that
               may usher image analysis into a new era of distributed processing via
               the Internet. It also has the strongest ease of use thanks to the use of
               wizards. ER Mapper used to be similar to ERDAS, but its functional-
               ity has not been sufficiently diversified in recent releases. Similar to
               ERDAS, it does not support innovative image classifiers based on
               machine learning, such as decision tree image analysis and neural
               network classification. Subpixel image classification is not supported
               in ER Mapper, even though it is possible to carry out spatial image
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