【24h】

Automatic and robust method for relative radiometric calibration

机译:自动可靠的相对辐射定标方法

获取原文
获取原文并翻译 | 示例

摘要

The process of relative radiometric calibration (RRC) is an important step for detecting change and monitoring environment through analyzing multi-temporal satellite images. Two key issues that focus on the RRC are how to extract invariant targets that have little or no variation in their reflectance between two images and how to acquire a linear function that expresses the relationship between the digital counts (DNs) of the two images. In this paper, an automatic method for selecting invariant targets which cover the range of bright, midrange, and dark data values is developed, and a robust estimator, which can be effective in tolerating with up to 50 percent outlier contamination, for calculating the gain and the offset of the linear function is described. The proposed methods are automatic and robust. We have applied the proposed method experimentally to synthesized images and real SPOT images, and experiment results have shown the feasibility of our algorithms.
机译:相对辐射校准(RRC)的过程是通过分析多时相卫星图像来检测变化并监视环境的重要步骤。关注RRC的两个关键问题是如何提取在两个图像之间反射率变化很小或没有变化的不变目标,以及如何获取表达两个图像的数字计数(DN)之间关系的线性函数。本文提出了一种自动选择覆盖亮,中,暗数据值范围的不变目标的方法,并建立了一个鲁棒的估计器,可以有效地耐受高达50%的离群污染,从而计算出增益并且描述线性函数的偏移。所提出的方法是自动且鲁棒的。我们已经将该实验方法应用于合成图像和真实SPOT图像,实验结果表明了该算法的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号