Page 39 - Digital Analysis of Remotely Sensed Imagery
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12    Cha pte r  O n e

               imagery (Fig. 1.4a). This system consists of two axes:  abscissa that
               increases in value eastward and ordinate that increases in value northward.
               Hence, the space is partitioned into four quadrants. Coordinates in
               different quadrants have different signs. Only in the first quadrant are
               both abscissa and ordinate positive. Due to the presence of negative
               coordinates, this system is not suitable for referencing  pixels in an
               image.
                   In spite of the three-dimensional Earth’s surface in reality, its
               rendition in a digital image has one fewer dimension. This reduction is
               permissible given that the sensor is usually located hundreds of
               kilometers above the Earth’s surface that has a negligible relief by
               comparison. Since the third dimension (height) of ground objects is not
               a concern in natural resource applications of remote sensing, it is
               acceptable to approximate this surface as a flat one represented by a
               two-dimensional array of pixels. Thus, a pair of coordinates in the
               form of row and column (also known as line and pixel) is required to
               locate uniquely locate a pixel in this array. Both have an increment of 1.
               These coordinates depict the central location of a grid cell. Since an
               image always starts with the first pixel and then the next sequentially,
               an image coordinate system differs from the commonly known cartesian
               coordinate system. Here, its origin is located in the upper left corner
               (Fig. 1.4b). Known as line, row increases vertically downward. Column
               refers to the position of a pixel in a row. It increases across from left to
               right. The total number of rows and columns of an image defines its
               physical size. Pixel P in Fig. 1.4b has a coordinate of (3, 10), in which 3


                         Northing
                          +6                           Column (position, pixel)
                                              Origin
                          +5
                Quadrant II  +4  Quadrant I
                  Easting < 0  +3    Easting > = 0               P
                  Northing > = 0 +2    Northing > = 0
                          +1
                                         Easting
                –6 –5  –4 –3  –2 –1 0  +1  +2 +3  +4 +5  +6  Row (line)
                          –1
                          –2
                Quadrant III  –3  Quadrant IV
                  Easting < 0    Easting > = 0
                          –4
                  Northing < 0    Northing < 0
                          –5
                          –6
                           (a)                              (b)
               FIGURE 1.4  Comparison of the cartesian coordinate system (a) with the
               image coordinate system (b). In the cartesian coordinate system, the space
               is divided into four quadrants, so coordinates can be positive or negative,
               dependent upon in which quadrant a point is located. In the image coordinate
               system, all coordinates are positive, as the origin is located in the upper left
               corner. Both systems require a pair of coordinates to reference a location
               uniquely.
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