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Home » Ebooks & Tutorials » Gracphics & Multimedia » 3D » Udemy – Drone Photogrammetric Image Processing (Beginner to Expert)

Udemy – Drone Photogrammetric Image Processing (Beginner to Expert)

29/11/2020 Learning for Life Leave a Comment

Udemy – Drone Photogrammetric Image Processing (Beginner to Expert)
English | Size: 1.66 GB
Category: Tutorial

Advanced Drone/UAV Photogrammetry Image Processing for Geospatial Data Generation

This course is all about UAV/Drone image processing for GIS data product generation through Agisoft Metashape. In this course, the end to end UAV/Drone image processing steps are explained in detail starting from image preprocessing/post-processing to accuracy assessment including theoretical content that provides better understanding. Other than Ortho, DSM, DTM. Point Cloud, Contour and 3D mesh generation this course detailed about stereo satellite image processing, panorama generation, volume calculation, ortho color correction, stereo setup file creation, RTK and PPK image processing and Network-based Parallel Image Processing for Massive image processing. I hope this course will provide “Most Advanced UAV/Drone Image Processing Knowledge to the Learners and the geospatial professional/community”.

Who this course is for:
This course is for Student and Researcher in GIS, Survey, Geomatics, Remote Sensing, Geography, Geology, Archaeology, Mining, Geo-informatics and Civil Engineering domain
This course is designed for traditional photogrammetry expert to upgrade their knowledge in UAV photogrammetry image processing
For UAV/Drone Pilot who want to learn about image processing
UAV/Drone Startup companies, drone entrepreneur or drone enthusiasts

Created by Leo Stalin
Release date: Last updated 9/2020
Video: MP4 h264, 1280×720
Audio: AAC, 44.1 KHz, 2 Ch
Language: English
Size: 1.7 GB
Duration: 1h 57m

covers, more info and reviews in suggested reading order:

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https://rapidgator.net/file/92ce7498d1cdc7aadf3f80a232120785/Drone_Photogrammetric_Image_Processing_(Beginner_to_Expert).part2.rar.html
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