基于CLAHE的山地高原区遥感图像均匀薄云雾去除模型研究

Cloud Removal From Sensing Image in Mountainous Plateau Using CLAHE Model

中国西南山地高原区气候湿润、多云多雨,因此光学遥感数据极易受到云雾干扰而出现质量下降,也给该地区的遥感技术应用制造了困难。而且山地高原区由于海拔较高,气候特殊等原因,均匀分布的薄云雾最为常见。因此,本文选取云南省永善地区SPOT-5遥感影像作为实验数据,基于云雾图像的统计直方图建立了限制对比度的自适应直方图均衡化去云雾模型(CLAHE),并将模型加以改进后通过应用实验从定性及定量两方面对模型实验结果进行了评估。结果表明,CLAHE法能有效的提高均匀云雾覆盖下的影像质量,适用于山地高原区遥感影像中均匀薄云雾的去除。

The climate of the mountainous plateau in southwest China is humid, cloudy and rainy. Therefore, the quality of optical remote sensingdata is highly susceptible to cloud interference, which brings great influence and limitation to the application of remote sensing technology in themountainous plateau.Moreover, due to the high altitude and special climate in the mountainous plateau area, uniform thin clouds are most common.Therefore, this paper selected the SPOT-5 remote sensing image of Yongshan as the experimental data, and established the contrast limited adaptivehistogram equalization（CLAHE） based on the statistical histogram of the cloud image, and improved the model. The results of the experiment wereevaluated from both qualitative and quantitative aspects. The result shows that the CLAHE model can effectively improve the image quality underuniform cloud coverage, and the method is suitable for the removal of uniform thin clouds izhiwn remote sensing images of mountainous plateau.