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相关概念视频

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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Types of Errors: Detection and Minimization01:12

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
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In animals, gender is determined by the number and type of sex chromosome. For example, human females have two X chromosomes, and males have one X and one Y chromosome, whereas C.elegans with one X chromosome is a male, and the one with two X chromosomes is a hermaphrodite.
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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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在地面物体检测中折射误差补偿的建模方法.

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  • 1School of Physics and Electronic Engineering, Jining University, Qufu, China.

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概括
此摘要是机器生成的。

本研究引入了一种用于飞机地面物体检测的新型大气折射误差补偿模型. 该模型准确地纠正了升高角度错误,提高了目标识别和定位精度.

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科学领域:

  • 大气光学是大气光学.
  • 地质测量是指地质测量.
  • 遥感是一种远程传感.

背景情况:

  • 大气折射显著影响空中观测的准确性.
  • 精确的地面物体检测需要对光学扭曲进行强大的补偿.

研究的目的:

  • 开发和验证用于空中地面物体检测的折射误差补偿模型.
  • 通过纠正升高角度错误来提高目标识别和定位的准确性.

主要方法:

  • 使用100米间隔对飞机和地面物体之间的大气层分.
  • 使用霍普菲尔德和e-index模型模拟大气折射率配置文件.
  • 应用斯内尔定律,根据飞行参数和大气数据推导出真实高度角.

主要成果:

  • 建立一个高度角误差模型来量化大气折射效应.
  • 证明了大气折射引起的升高角度误差的纠正.
  • 从飞机观察到的地面目标的识别和定位的精度提高.

结论:

  • 开发的模型有效地弥补了空中观测中的大气折射误差.
  • 准确的大气折射率分析对于精确的升高角度确定至关重要.
  • 该模型提高了遥感和监控应用的可靠性.