MODIS 1B 影像中存在横向和纵向条带, 基于均衡化曲线补偿技术, 提出了一种快速检测和去除条带的 算法, 给出了条带检测判定参数, 即: 如果A帧和B 帧的10 组传感器校正系数Ci值分别位于0 的两侧, 且ABS(Ci)> 0.008, 则存在宽条带; 如果10 组传感器的校正系数MAX(Ci)>0.05 时, 则存在单行条带。去除宽条带时, 需以当前 列为首列, 从其后连续的100 列影像中提取各传感器相对当前列的校正系数。结果表明, 条带检测模型能有效识别 单行条带和宽条带, 多行条带需目视识别, 单行条带和宽条带去除效果明显好于NASA 网站公布数据, 多行条带虽 未彻底去除, 但处理后的影像质量得到明显改善。

The MODIS sensor has 36 spectral bands. the desired effect can not be obtained with only one destriping method. Based on compensation and elimination of equalization curve method, a new set of algorithm is proposed in this article to rapidly detect and remove stripes, through giving a definite judging parameter of the stripe. If the correcting coefficient of 10 groups sensors in A-frame and B-frame are separated by 0, and the ABS (Ci)>0.008, then there exist wide stripes. If the maximum correcting coefficient (Ci) of 10 groups sensors is greater than 0.05, then there exist single-line stripes. The wide destriping process is as follows. Take the current column as the first one; then extract the correcting coefficient from the next 100 columns of each sensor compared with the first column seperatively. The results show that the detecting model can effectively identify the single-line stripes and the wide stripes, but the multi-line stripes need visual assistant. The removal effect of the single-line and the wide stripes is better than that from NASA website, the image quality is significantly improved after the treatment, though multi-line stripes are not completely removed.