Fast dehaze of high resolution remote sensing images

doi:10.11947/j.AGCS.2022.20200480

Abstract

Abstract: Aiming at the problems of low utilization rate and poor effectiveness of cloud and fog remote sensing images in military aviation investigation and ground object interpretation, as well as the disadvantages of the existing cloud and fog removal algorithms, such as complex calculation, time-consuming and color distortion, combined with the characteristics of remote sensing image with small depth of field change and without sky background, an improved dark-channel prior dehazing algorithm is proposed. Firstly, the gray value of the white scene in the image is counted and the threshold is set to divide it into failure area. The water area and non water area are separated to reduce the proportion of blue band in the water area, and a new blue band is synthesized to improve the acquisition method of dark channel value; Secondly, the guided filter is used to replace the soft matting method to optimize the transmittance enhancement processing time; then, the adaptive improvement experiment of key parameters is carried out and the automatic color level restoration is adopted the color of the image after defogging. Experiments are carried out with fog UAV images and GF-2 images, and quantitative evaluation is carried out. The experimental results show that under the same experimental conditions, the processing time of a single image by this method is more than 4 times higher than that of the dark-channel prior algorithm, and the gray mean, standard deviation, information entropy and average gradient of the dehaze image are higher than those obtained by the dark-channel prior algorithm, which can effectively improve the clarity of the fogged image, Enhance image color and detail.

Key words: remote sensing image, dehaze, dark-channel prior, guide filter

CLC Number:

P237

LIAO Zhanghui, JIANG Chuang. Fast dehaze of high resolution remote sensing images[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(3): 446-456.

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