In recent years, NOAA images have been provided very useful information about ecosystems, climate, weather and
water from all over the world. In order to use NOAA images, they need to be transformed from image coordinate system
into map coordinate system. This paper proposes a method that corrects the errors caused by this transformation. First,
elevation values are read from GTOPO30 database and they are verified to divide data into flat and rough blocks. The
elevation errors of all blocks are then calculated based on the elevation values. After correcting elevation errors, residual
errors are specified by GCP template matching. On the flat blocks, residual errors are corrected by affine transformation;
on the rough blocks, residual errors are corrected by applying Radial Basic Function Transformation to the residual
errors of the blocks that match GCP templates. With this correction method, residual errors are corrected precisely and
the errors of interpolation process are reduced. This method was applied to correct the errors for NOAA images
receiving in Tokyo, Bangkok and Ulaanbaatar. The results proved that this is a high accurate geometric correction
method.
In the past, all methods that understand deformation / fracture (D/F) characteristics have been limited on the
surface indirectly. D/F characteristics are affected by micro-scale structural features like air bubbles (pores),
cracks and micro-detects; therefore, they need to be analyzed inside. In this paper, we propose a system
which automatically obtains the corresponding relations between pre- and post-D/F pores. Our system enables
analyzing 3D, local, high-accuracy D/F characteristics. Experiments proved its effectiveness.
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