Cloud Detection in MODIS data based on spectrum analysisand snake model

摘要

Clouds in satellite images must be precisely identified prior to any further analysis in any case. A new cloud detectionalgorithm based on spectrum analysis and snake model is put forward in this paper. According to the distinction of thespectral bands for the MOD1S and the spectrum curve of different objects, we can differentiate the cloud from otherobjects well by the bandl, band6 and band26. Because the distinct difference between cloud and the earth's surface, thedetected thresholds have good robustness, and they are not sensitivity to images. Then we can optimize the cloudboundary by snake model. We adequately use the image information of the three bands in snake model via color gradient.By balancing these model-based and data-driven energy terms using regularization parameters, the snake algorithm canextract very accurate cloud boundaries without gaps and spurious branches. According to numerous experimental results,the new cloud detection algorithm in this paper is simple, feasible and suitable.