Pixel discontinuity in orthoimages
occurs frequently due to altitude variations in the pitch and heading of an
airplane, and low performance of real-time analyzing software. This study
proposes a scheme to resolve pixel discontinuity. The proposed scheme includes
the following steps: 1) capture images by a self-made hyperspectral imager; 2)
determine the pixel locations of orthoimages using a top-down approach; 3)
repair discontinuities by the Nearest Neighbor (NN) or Bilinear Interpolation
(BL) approaches; and, 4) perform a dynamic range adjustment on the orthoimages,
according to the maximum pixel value of the raw images and orthoimages. After
applying the proposed scheme, this study found that pixel discontinuity was
eliminated by both approaches, and that the software dependability and image
quality were improved substantially. In addition, the computational efficiency
of the NN approach was roughly two minutes faster than that of the BL due to
its simpler computation. However, BL produces smoother image edges for
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