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为获取遥感数据的环境噪声特性,提出基于简化的自动化局部收敛定位算法(ALCL)的环境噪声等效辐射率提取方法.通过对Hyperion数据进行自动化局部收敛定位指数计算,得到遥感数据自动化局部收敛定位指数密度分割图.分别选取点A、B,点A的自动化局部收敛定位指数值小于点B.分别计算A、B两点随窗口尺寸变化时的平均辐射率值和环境噪声等效辐射率,二者平均辐射率值随窗口尺寸变化较小,但B点环境噪声等效辐射率随窗口尺寸变化发生较大幅度增加,而A点环境噪声等效辐射率相对稳定.结果表明,自动化局部收敛定位算法能够有效实现环境噪声等效辐射率最佳提取区域的选择.
In order to obtain the characteristics of environmental noise of remote sensing data, a method based on simplified automatic local convergence algorithm (ALCL) for extracting ambient noise equivalent emissivity is proposed.Automatic local convergence positioning of remote sensing data is obtained by calculating the automatic local convergence index of Hyperion data Exponential density segmentation.Automatic local convergence index values of points A, B and A are respectively less than B. The average emissivity values of A and B with window size change and the equivalent emissivity of environmental noise are calculated respectively, The average emissivity of the two changes little with the size of the window, but the equivalent emissivity of ambient noise at point B increases with the change of window size, while the equivalent emissivity of ambient noise at point A is relatively stable.The results show that the automatic local convergence Positioning algorithm can effectively achieve the selection of the optimal extraction area of equivalent noise rate of environmental noise.