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相关概念视频

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

38
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...
38
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

58
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,...
58
Geoid and Ellipsoid01:28

Geoid and Ellipsoid

28
The Earth's shape is best described as an ellipsoid, a slightly flattened sphere created by rotating an ellipse around its minor axis. This flattening results in the polar axis being about 21 kilometers shorter than the equatorial axis. In contrast, the geoid represents the Earth's gravitational shape and aligns with the mean sea level (MSL). The geoid is an irregular equipotential surface where gravity is perpendicular at every point. Variations in Earth's mass distribution cause geoid...
28
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

26
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...
26
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

26
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...
26
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

602
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
602

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相关实验视频

Updated: Jun 11, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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使用联合深度学习进行全球DEM的空间插值.

Ziqiang Huo1, Jiabao Wen1, Zhengjian Li1

  • 1School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China.

Scientific reports
|September 27, 2024
PubMed
概括

联合学习 (FL) 与多尺度U-Net提高了数字海拔模型 (DEM) 的插值速度. 这种保护隐私的方法为安全地形数据利用提供了一种新方法.

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科学领域:

  • 地理信息学是一种地理信息学.
  • 遥感 遥感 遥感 遥感
  • 计算机科学 计算机科学

背景情况:

  • 数字高度模型 (DEM) 对于3D地形建模至关重要,但获得高密度数据是具有挑战性和昂贵的.
  • 传统的空间插值方法用于DEM恢复,由于高计算成本,其实时性能和精度较低.
  • 深度学习在图像生成任务中表现出色,但DEM数据隐私问题限制了集中式培训.

研究的目的:

  • 开发一种新的DEM插值模型,解决数据稀缺性和隐私问题.
  • 提高地形信息处理的效率和安全性.
  • 探索联邦学习 (FL) 在DEM数据恢复中的应用.

主要方法:

  • 提出了一个DEM插值模型,将联合学习 (FL) 与多级U-Net架构集成在一起.
  • 利用 FL 实现跨多个节点的本地模型训练,保护数据隐私.
  • 将DEM插值作为图像生成任务进行处理,输入不完整的DEM以生成完整的DEM.

主要成果:

  • 基于FL的多级U-Net模型显示,与传统方法相比,处理速度更快.
  • 该模型实现了比传统方法更低的插值精度,表明了速度和精度之间的权衡.
  • 该研究成功为DEM数据利用提供了保护隐私的解决方案.

结论:

  • 联合学习与多尺度U-Net相结合,为DEM插入提供了一种高效和安全的方法.
  • 这种方法对于具有严格 DEM 数据隐私和安全要求的应用程序特别有价值.
  • 这项研究为利用敏感地形信息开辟了新的途径.