何旭东,赵洪鹏.面向河道带状地形测量的航空摄影测量影像细节增强技术研究[J].林业调查规划,2024,49(4):201-206 |
面向河道带状地形测量的航空摄影测量影像细节增强技术研究 |
Detail Enhancement Technology of Aerial Photogrammetric Image forRiver Band Topographic Survey |
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DOI: |
中文关键词: 航空摄影 测量影像 影像细节增强技术 动态差分后处理技术 子层分割技术 透射率去雾技术 |
英文关键词: aerial photography measurement images image detail enhancement technology dynamic differential
post-processing technology sub-level segmentation technology transmittance defogging technology |
基金项目: |
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中文摘要: |
航空摄影曝光延迟对测量影像造成误差干扰,导致影像对比度和清晰度不高,为解决这一问
题,提出了基于子层分割和透射率去雾的影像细节增强处理技术。充分考虑加入一体化监测中与
航空摄影测量时间呈线性关系的系统误差,采用动态差分后处理技术解决曝光延迟和信号中断造
成的误差干扰问题。对影像各个灰度区域进行子层分割处理,将子层区域占全局直方图的比例反
映到灰度级的横坐标上,对影像对比度进行增强处理。构建大气传输模型,计算无雾影像局部影像
块内通道暗原色,结合航拍影像局部透射率计算结果,对影像清晰度进行增强处理。实验结果表
明,该技术最大像素值为1 000 PX,出现在中间区域,影像细节增强效果与理想增强效果一致,能够
有效增强影像细节。 |
英文摘要: |
Aerial photography exposure delay causes error interference to the measured image, resulting in
low image contrast and clarity. To solve this problem, the image detail enhancement technology based on
sub-layer segmentation and transmittance defogging was proposed. By fully considering the system error
that was linear with the aerial photogrammetry time in the integrated monitoring, the dynamic differential
post-processing technology was adopted to solve the error interference caused by exposure delay and signal
interruption. Sub-level segmentation was carried out for each gray area of the image, and the proportion of
the sub-level area in the global histogram was reflected on the abscissa of the gray level to enhance the image contrast. The atmospheric transmission model was built to calculate the dark primary color of the channel in
the local image block of the fog-free image, and enhance the image definition in combination with the local
transmittance calculation results of the aerial image. According to the experimental results, the maximum pixel
value of this technology was 1 000 PX, which appeared in the middle region. The image detail enhancement
effect was consistent with the ideal enhancement effect, and could effectively enhance the image details. |
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