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相关概念视频

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
535
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

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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,...
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Topographic Surveying and Contours01:29

Topographic Surveying and Contours

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Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
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Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Root-Locus Method01:19

Root-Locus Method

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A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
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Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

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Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
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一种基于YOLOv7的方法,用于从无人机图像中提取冠状.

Peng Shen1, Haori Xue1, Tenglong Li1

  • 1North China Institute of Aerospace Engineering, Langfang, China.

Science progress
|July 30, 2025
PubMed
概括

这项研究引入了双YOLOv7,用于改进多光谱冠状检测和细分. 增强型号实现了更高的准确性和效率,使其适用于空中平台.

科学领域:

  • 计算机视觉 计算机视觉
  • 遥感 遥感 遥感 遥感
  • 机器学习 机器学习

背景情况:

  • 多光谱皇冠提取面临诸如复杂的背景干扰,功能利用差,模型冗余等挑战.
  • 现有的方法很难有效地整合光谱信息,并捕获细节以进行准确的细分.

研究的目的:

  • 提出一个改进的YOLOv7架构,双YOLOv7,用于增强多光谱冠状检测和细分.
  • 为了解决特征提取,细节捕获和界限框回归精度的局限性.

主要方法:

  • 一个双分支特征提取网络,将可见和红外光谱数据与注意力机制集成在一起.
  • 介绍D-SimSPPF模块使用深度可分离的卷积来优化空间金字塔聚合.
  • 开发了CIoU-C损失函数,用于改进边界框回归的形状惩罚.

主要成果:

  • 双YOLOv7模型的检测和细分 mAP50分数分别为91.6%和90.1%.
  • 与YOLOv7-seg.相比,mAP50在检测和细分方面有7.7%和7.6%的显著改进.
  • 在道修剪后,模型参数数量减少了14.2%,创建了一个轻量级的解决方案.

结论:

关键词:
皇冠提取 - 提取皇冠.这就是YOLOv7的意思.深度学习是一种深度学习.一个模型的压缩压缩.多光谱的 多光谱的

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  • 拟议的双YOLOv7有效地克服了多光谱皇冠提取方面的挑战.
  • 该模型在准确性和效率方面表现出卓越的性能,适合基于无人机的应用.
  • 轻量级的设计使其在资源有限的平台上实用进行实时处理.