PRINTGRAMMETRY: GOOGLE EARTH IMAGERY BASED 3D MODEL GENERATION FOR VR APPLICATIONS

被引：0

作者：

Horota, Rafael Kenji ^{[1
]}

Marques, Ademir, Jr. ^{[1
]}

Rossa, Pedro ^{[1
]}

de Souza, Eniuce Menezes ^{[1
]}

Aires, Alysson Soares ^{[1
]}

Cazarin, Caroline Lessio ^{[2
]}

Veronez, Mauricio Roberto ^{[1
]}

Gonzaga, Luiz, Jr. ^{[1
]}

机构：

[1] UNISINOS S ao Leopoldo, Vizlab Adv Visualizat & Geoinformat Lab, S ao Leopoldo, RS, Brazil

[2] CENPES PETROBRAS, Rio De Janeiro, RJ, Brazil

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

关键词：

Photogrammetry; Google Earth; 3D model; geoscience; virtual reality;

D O I：

10.1109/igarss.2019.8898929

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This work proposes a workflow methodology that acquires and processes Google Earth imagery to generate 3D Virtual Field Environments (VFE) using SfM algorithm processing software. These models can be visualized in MOSIS V2 (Multi Outcrop Sharing and interpretation System - Vizlab) software and can transport earth science academics to any high-resolution environment from Google Earth in immersive virtual reality (iVR) with a set of geological tools for interpretation and teaching.

引用

页码：4292 / 4295

页数：4

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