| Technology and Methodology |
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Local enhancement method and its applications to UAV image matching |
| TANG Min1, LI Yongshu1, LI Xin2, LIU Bo2 |
1. GIS Engineering Center of Southwest Jiaotong University, Chengdu 610031, China;
2. 78155 Troops, Chengdu 610036, China |
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Abstract The quality of UAV image is closely related to light, imaging angle and the feature of the ground object. There are some shortcomings in many images, such as poor visual contrast, large distortion and insufficient resolution, which cause many difficulties in subsequent image matching and orthorectification. To obtain better results in UAV image matching, the authors first calculated the degree of dispersion between gray value of pixel and image gray average to divide the image into different areas according to the discrete gray information of original images. Then, the distance weighted interpolation method was used to calculate the transformation function and enhanced the various regions in different degrees. After that, the histogram of enhanced image was corrected. Finally, the epipolar constraint method was used in the image matching experiment. The results show that, because of the enhanced image gray value gradient difference, there exists some extent of increased matching success rate and uniformity in the woodland area which has smaller gray change, thus favoring the smooth progress of the work of subsequent image processing.
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| Keywords
TM
aerosol optical depth(AOD)
dark pixel
look-up table
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Issue Date: 21 October 2013
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2013,
Vol. 25
