Pixel Discontinuity Repairing for Push-Broom Orthorectified Images


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 landscapes.

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J. Lai, M. Chen and H. Chang, "Pixel Discontinuity Repairing for Push-Broom Orthorectified Images," Journal of Software Engineering and Applications, Vol. 6 No. 4A, 2013, pp. 24-29. doi: 10.4236/jsea.2013.64A004.

Conflicts of Interest

The authors declare no conflicts of interest.


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