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A New Radiation Correction Method for Remote Sensing Images Based on Change Detection

机译:基于变化检测的遥感影像辐射校正新方法

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As an important remote sensing image pre-processing method, radiation correction is essential to reduce deviation introduced by environment factors, especially for tasks such as image compression, image fusion, and object recognition. In this paper, we propose a new radiation correction method for remote sensing images based on change detection. Due to the fact that areas of with significant changes deteriorate performance of radiation correction, these sections should be detected and discarded in the image firsdy. Then general radiation correction technology is considered to have better performance on the rest sections. The core idea of the proposed method exists in the combination of radiation correction and change detection. Experimental results prove validness of the proposed method. As an application example, this method used in image compression shows better performance than other compression technologies.
机译:作为一种重要的遥感图像预处理方法,辐射校正对于减少环境因素引起的偏差至关重要,尤其是对于诸如图像压缩,图像融合和物体识别等任务。本文提出了一种基于变化检测的遥感图像辐射校正新方法。由于具有显着变化的区域会降低辐射校正的性能,因此应该检测这些部分并将其丢弃在图像黑幕中。然后,一般的辐射校正技术被认为在其余部分具有更好的性能。该方法的核心思想在于辐射校正和变化检测的结合。实验结果证明了该方法的有效性。作为应用示例,此图像压缩中使用的方法显示出比其他压缩技术更好的性能。

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