Agisoft Metashape Professional 1.5.3 Build 8407 (x64) Multilingual | 161.2 Mb Agisoft Metashape (formerly PhotoScan) is a stand-alone software product that performs photogrammetric processing of digital images and generates 3D spatial data to be used in GIS applications, cultural heritage documentation, and visual effects production as well as for indirect measurements of objects of various scales. Wisely implemented digital photogrammetry technique enforced with computer vision methods results in smart automated processing system that, on the one hand, can be managed by a new-comer in the field of photogrammetry, yet, on the other hand, has a lot to offer to a specialist who can adjust the workflow to numerous specific tasks and different types of data. Throughout various case studies Metashape proves to produce quality and accurate results. Photogrammetric triangulation - Processing of various types of imagery: aerial (nadir, oblique) & close-range. - Auto calibration: frame (incl. fisheye), spherical & cylindrical cameras. - Multi camera projects support. Dense point cloud: editing and classification - Elaborate model editing for accurate results. - Points classification to customize geometry reconstruction. - .LAS export to benefit from classical point data processing workflow. Digital elevation model: DSM/DTM export - Digital Surface and/or Digital Terrain Model — depending on the project. - Georeferncing based on EXIF meta data/flight log: GPS/GCPs data. - EPSG registry coordinate systems support: WGS84, UTM, etc. Georeferenced orthomosaic export - Georeferenced orthomosaic: most-GIS-compatible GeoTIFF format; .KML file to be located on Google Earth. - Export in blocks for huge projects. - Color correction for homogeneous texture. Measurements: distances, areas, volumes - Inbuilt tools to measure distances, areas and volumes. - To perform more sophisticated metric analysis Metashape products can be smoothly transferred to external tools thanks to a variety of export formats. Ground control points: high accuracy surveying - GCPs import to control accuracy of the results. - Coded/non-coded targets auto detection for fast GCPs input. - Scale bar tool to set reference distance without implementation of positioning equipment. Python scripts: customize processing workflow - In addition to Batch processing — a way to save on human intervention, Python scripting suggests customization options: - a parameters template for several similar data sets; intermediate processing results inspection; etc. Multispectral imagery processing - RGB/NIR/thermal/multispectral imagery processing. - Fast reconstruction based on preferable channel. - Multichannel orthomosaic generation for built-in vegetation indices (NDVI) calculation and export. 3D model: generation and texturing - Various scenes: archaeological sites, artifacts, buildings, interiors, people, etc. - Direct upload Sketchfab resource and export to varios popular formats. - Photorealistic textures: HDR and multifile support. 4D modeling for dynamic scenes - Multi camera station data processing for creative projects in cinemato- graphic art, game industry, etc. - Basis for numerous visual effects with 3D models reconstructed in time sequence. Panorama stitching - 3D reconstruction for data captured from the same camera position — camera station, provided that at least 2 camera stations are present. - 360° panorama stitching for one camera station data. Network processing - Distributed calculations over a computer network to use combined power of multiple nodes for huge data sets processing in one project. System Requirements: - CPU: Quad-core Intel Core i7 CPU, Socket LGA 1150 or 1155 (Kaby Lake, Skylake, Broadwell, Haswell, Ivy Bridge or Sandy Bridge) - Motherboard: Any LGA 1150 or 1155 model with 4 DDR3 slots and at least 1 PCI Express x16 slot - RAM: DDR3-1600, 4 x 4 GB (16 GB total) or 4 x 8 GB (32 GB total) - GPU: Nvidia GeForce GTX 980 or GeForce GTX 1080 (optional)

谷歌数字高程模型（DEM）下载工具

数字高程模型作为地球空间信息框架的基本内容和其他各种信息的开车体被列为包括中国在内的各国的各国十分重视的基础地理信息产品。本书系统论述了DEM数据获取、数据组织、数据记录及建模与分析的最的理念研究成查和先进技术方法，其中精度模型和建模算法对于地理三维信息数字化、自动化有重要意义。该书对正在进行的空间数据基础设施建设和数字地球战略的实施具有较大的理论和技术参考价值，适合于与地学相关专业的科研、生产、管理人员以及教学师和学生使用。

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自述文件 一般的 一组程序，用于将存储为 *.LAS 文件的 LiDAR 数据处理为新的 *.LAS 文件，用于数字高程模型、数字表面模型和数字冠层高度模型制作。 目前，步骤包括1）创建与从使用* .LAS文件点数据的数据库sqlite3的createDB.py命令和2）上运行的任一个或地面分类器和冠面分类器既与classify.py命令。 shell 脚本driver.sh可用于运行这两个步骤。 地面点分类 数据使用 10 mx 10 m 内核处理。 10 mx 10 m 内核中最低的最后返回点被归类为种子地面点。 如果剩余点距种子地面点的水平面 < 5.5 度且高度 < 1.5 m，则它们被归类为地面点。 只有地面分类的点被写入一个名为ground.las 的文件中。 树冠点分类 数据使用 1 mx 1 m 内核处理。 1 mx 1 m 内核中最高的第一个返回点被归类为冠层点的顶部。