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相关概念视频

Distance Corrections01:15

Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

Influence of Earth's Curvature and Atmospheric Refraction on Leveling

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During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Variation of Atmospheric Pressure01:18

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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
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Errors in Global Positioning System01:26

Errors in Global Positioning System

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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基于同步大气校正的遥感图像记录方法.

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    此摘要是机器生成的。

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    科学领域:

    • 遥感 遥感 遥感 遥感
    • 这是一种摄影计量技术 (photogrammetry).
    • 大气科学 大气科学

    背景情况:

    • 图像注册对于遥感至关重要,但由于气溶引起的图像模糊而退化.
    • 气溶的时空异质性显著影响图像质量和记录准确性.
    • 现有的方法在与非同步的气溶数据和大气效应作斗争.

    研究的目的:

    • 开发一种同步大气校正方法,以增强远程传感图像记录.
    • 研究大气影响,气溶参数和图像特征之间的关系.
    • 为了提高遥感图像记录的准确性和可靠性.

    主要方法:

    • 对大气校正和图像记录原理的分析.
    • 模拟由于气溶引起的大气辐射贡献变化的模拟.
    • 关于使用空中同步监测大气校正器 (ASMAC) 进行同步校正的注册方法的建议.
    • 使用ASMAC衍生的气溶光学深度和水蒸气数据评估注册转换矩阵.

    主要成果:

    • 拟议的方法显著提高了远程传感图像记录的准确性.
    • 实验结果显示,特征数量增加,定量指标得到改善.
    • 规范化的相关系数提高了2.408%;规范化的相互信息增加了1.395%.

    结论:

    • 同步大气校正有效地减轻气溶对图像记录的影响.
    • 基于ASMAC的方法增强了特征提取和匹配能力.
    • 这种方法提供了一个强大的解决方案,用于在不同的大气条件下准确的遥感图像记录.