基于区域的遥感图像的增强方法
首发时间:2007-10-23
摘要:由于遥感图像在成像过程中受传感器性能下降、大气扰动等因素的影响,致使图像质量下降,影响遥感信息的提取及精度.为改善遥感图像质量,本文根据灰度直方图的最佳一维投影的思想,得到新的直方图的投影图,由此把原遥感图像分为低、中和高亮度区,并分别在各区利用非线性点运算和线性拉伸进行处理,最后得到对比度自适应直方图均衡化(contrast adaptive histogram equalization简称CAHE)的增强图像,与分段线性变换后的图像、同态滤波结合分段线性变换后的图像以及直方图均衡化后的图像进行了比较,结果表明本文给出的方法是比较好的方法,有效的增强了图像的清晰度,提高了视觉效果,有利于遥感信息提取和专题解译.
关键词: 最佳一维投影 点运算 对比度自适应直方图均衡化
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The Enhancement Method for Remote Sensing Image Based on Region
Abstract:Due to the effect of a sensor, atmosphere etc, the quality of the remote sensing images become worse, which affect the information extraction and precision. To improve the quality of remote sensing images, this paper bases on the idea of the 1-dimension optimal projection of grey level histogram, a new projection image of histogram is obtained, therefore the image is parted into low, middle and high areas of brightness. Then, these areas are inhanced by non-linear point operation and linear strength methods separately. Finally, an enhanced image processed by histogram equalization of adaptive contrast (CAHE) is gained. Compare with the images of piecewise linear transformation, homeostasis filtering combined piecewise linear transformation and histogram equalization, the result indicates the method in this paper is good , enhances the definition of the image effective, ameliorates the visual effect, and benefits the information extraction and thematic interpretation of the remote sensing image.
Keywords: 1-dimension optimal projection point operation histogram equalization of adaptive contrast
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