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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

43
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
43
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

19
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
19
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

22
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
22
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

24
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
24
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

42
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
42
Errors in Global Positioning System01:26

Errors in Global Positioning System

32
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,...
32

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相关实验视频

Updated: May 24, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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一种自适应的特征提取方法用于空中视图地理定位.

Jinliang Lin, Zhiming Luo, Dazhen Lin

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括

    本研究介绍了Safe-Net,这是一种用于交叉视图地理定位的新型网络,可以有效处理建筑图像中的尺寸变化. 安全网提取强大的,规模不变的特征,用于准确的地理匹配,实现最先进的结果.

    科学领域:

    • 计算机视觉 计算机视觉
    • 地理信息系统 地理信息系统
    • 机器学习 机器学习

    背景情况:

    • 交叉视图地理定位匹配不同图像视角 (例如,无人机与卫星) 的地理位置.
    • 由于摄像头角度,高度和现实世界的物体大小,目标建筑的显著尺度变化带来了挑战.
    • 现有的方法往往忽略了尺度不变性和特征对齐,阻碍了强大的性能.

    研究的目的:

    • 开发一个能够挖掘抗规模变化的歧视性表示的网络.
    • 以自我适应的方式增强特征对齐和提取规模不变特征,以改善地理定位.

    主要方法:

    • 拟议的自适应特征提取网络 (Safe-Net) 用于端到端学习.
    • 实现了使用亲属转换的全局表示引导的特征对齐模块.
    • 引入了以突出度为导向的特征分区模块,以适应性地处理图像区域而无需手动注释.

    主要成果:

    • 在大学-1652和SUES-200基准上取得了最先进的表现.
    • 具有显著的尺度适应能力,特别是用于小目标建筑物的图像.
    • 成功地提取了强大的特征表示,用于具有挑战性的地理定位场景.

    结论:

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    • 安全网有效地解决了跨视图地理定位的规模变化.
    • 拟议的模块可以实现强大的特征提取和对齐.
    • 该方法为准确的空中视图地理定位提供了一个有希望的解决方案.