光学学报, 2019, 39 (3): 0301005, 网络出版: 2019-05-10   

一种高分辨率遥感图像去雾霾方法 下载: 929次

A Haze Removal Method for High-Resolution Remote Sensing Images
作者单位
北京空间机电研究所, 北京 100094
摘要
基于遥感多光谱图像中不同谱段对雾霾的不同探测能力,利用对雾霾敏感的蓝谱段构建了雾霾图和非雾霾图;利用对雾霾不敏感的红谱段并采用mean-shift分割来识别亮目标,并对雾霾图进行了修正和补偿,完成了去雾霾处理。以国产高分辨率遥感图像为测试对象,基于常用高分辨率遥感图像质量参数对校正效果进行了评价。研究结果表明,各谱段去雾霾处理后遥感图像质量参数较校正前均得到了提升,非雾霾区域校正后的图像光谱色彩特征与校正前保持了良好的一致性,校正后雾霾区域的细节信息得到了恢复。
Abstract
Based on the different ability for detecting haze of each spectral band of remote sensing multispectral image, the blue spectral band which is more sensitive to haze is used to label the haze and non-haze images. The red spectral band which is less sensitive to the haze and the mean-shift segmentation are used to label bright object. Bright object can correct and compensate the haze images before dehazing processing. Taking domestic high-resolution remote sensing image as test object, the correction effect is evaluated based on the quality parameters of high-resolution remote sensing images. The research result shows that all image quality parameters of each spectral band are improved after correction, and image features in non-haze area keep consistency before and after correction. Detailed information of image in haze area is recovered and image quality is significantly improved after correction.

谭伟, 曹世翔, 齐文雯, 何红艳. 一种高分辨率遥感图像去雾霾方法[J]. 光学学报, 2019, 39(3): 0301005. Wei Tan, Shixiang Cao, Wenwen Qi, Hongyan He. A Haze Removal Method for High-Resolution Remote Sensing Images[J]. Acta Optica Sinica, 2019, 39(3): 0301005.

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