[行业软件]Global Mapper Pro 24.1 Build 030923 (x64) [复制链接]

Global Mapper Pro 是一款全面且易于使用的 GIS 应用程序，它提供了广泛的工具集合，用于数据创建、编辑、高级 2D 和 3D 分析、工作流自动化脚本方法以及广泛的文件格式支持。Global Mapper Pro 整合了以前在现已停用的激光雷达模块中提供的所有点云处理功能，为用户提供了许多新的和增强的数据处理和分析工具。以下功能仅在全局映射器专业版中可用，下面的比较图显示了该软件的Pro和标准版本中可用的功能和工具：
无人机数据处理与像素到点
激光雷达数据编辑
通过光谱图分区进行点云分割
自动创建隔断线
地形画
脚本生成器和脚本编辑器
蟒蛇编程语言集成
克里金法
全球映射器移动集成
栅格数据的自动矢量化[img]file:///https://www.bluemarblegeo.com/wp-content/themes/bluemarble/assets/images/angle_right_gray.svg[/img]
从激光雷达生成的高程模型和等高线[img]file:///https://www.bluemarblegeo.com/wp-content/themes/bluemarble/assets/images/angle_right_gray.svg[/img]
网格特征创建[img]file:///https://www.bluemarblegeo.com/wp-content/themes/bluemarble/assets/images/angle_right_gray.svg[/img]
全球地图绘制器专业版的最新发展[img]file:///https://www.bluemarblegeo.com/wp-content/themes/bluemarble/assets/images/angle_right_gray.svg[/img]
Global Mapper Pro® is a comprehensive and easy to use GIS application that provides an extensive collection of tools for data creation, editing, advanced 2D and 3D analysis, scripting methods for workflow automation, and expansive file format support. Incorporating all of the point cloud processing functionality previously available in the now-retired Lidar Module, Global Mapper Pro provides users with numerous new and enhanced data processing and analysis tools.

Drone-data Processing with Pixels to Points
The creation of 3D point cloud and mesh data from a drone or UAV-collected images is made easy with the Pixels to Points tool in Global Mapper Pro. Using the structure from motion process with opportunities to add ground control points for positional accuracy, this tool generates a 3D point cloud, orthoimage, and mesh from a set of drone-collected images.

Lidar Data Editing
Including manual and automatic classification methods, Global Mapper Pro offers the opportunity to fully classify 3D point cloud data. Automatic ground, building, tree, powerline, and pole classification and feature extraction tools work with lidar or photogrammetrically-generated point cloud data.
With various selection methods available in 2D, 3D, and the Path Profile views, point return classes, elevation, and attributes can be altered. The Swath Separation tool easily creates swath images, allowing users to explore the vertical separation between overlapping lidar swaths. Additional tools to enhance the 3D position of point clouds through manual rectification or based on control points or overlapping point clouds provide a set of tools suited for all lidar data processing.

Point Cloud Segmentation by Spectral Graph Partitioning
This tool divides the point cloud into clusters of points based on similarity across attributes and spatial properties. Users are able to choose which attributes to consider when breaking the data set into segments and specify the importance of these values. The result of the segmentation analysis is a point cloud with a unique ID assigned to each identified segment in the point cloud. The points can then be colored by the assigned segment ID values in order to clearly show the results of the analysis. The flexibility and customization in this tool, combined with a selection method to select and edit individual segments, greatly improves manual classification, to achieve custom point cloud classification in a semi-automated process.

Automatic Breakline Creation
This tool is able to find distinct changes in the slope or curvature of the terrain, and extract these edges as 3D vector breaklines. Depending on the goals of the analysis, there are three breakline detection methods available in this tool:
1.) Find Breaklines at Slope Region Boundaries is best suited for extracting breaklines around flat areas like a hydro-flattened water feature or a plateau.
2.) Find Breakline Around Edges of Regions with Similar Slopes bases the analysis on a user-defined curvature threshold, creating breakline features around areas within the defined maximum curvature value, such as a river bank.
3.) Find Breaklines at Any Surface Break looks at a curvature analysis to identify breaklines at extreme points of curvature in the data set. This method is useful for generating lines along ridges and valleys.

Minimum System Requirements:
Operating System: Windows 8, Windows 10
Minimum RAM: 8 GB
Minimum HDD space: 600MB, plus any space required for storing and creating new data.
Video driver support for OpenGL v4.2 or later (for 3D Viewer)

Home Page - https://www.bluemarblegeo.com/global-mapper-pro/

      

赞美呀赞美，看看呀看看

      

非常不错的工具。

谢谢分享楼主威武

版本更新了？有中文版吗？

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