id
	13898
Url
	https://chloe.cnr.it/s/BiDiAr/item/13898
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	MAGO: a new approach for orthophotos production based on adaptive mesh reconstruction
Creator
	Gagliolo, Sara
	Federici, Bianca
	Ferrando, Ilaria
	Sguerso, Domenico
Date
	2019
Language
	eng
Abstract
	Orthophotos are one of the most common and typical products of a photogrammetric post-processing and, since the diffusion of specific software, their generation and usage have become even more widespread. In spite of it, some issues remain on the accuracy of orthophoto reconstruction, which is often downgraded by the introduction of meshes and Digital Surface Models to be used as surfaces representing the object. The use of a more accurate and reliable input, such as a point cloud, makes these approximations avoidable. For this reason, a new approach, termed MAGO (Adaptive Mesh for Orthophoto Reconstruction), is here delineated and proposed. The input data of the procedure are the user-defined orthophoto plane, the image and its internal and external orientation parameters, and a point cloud representing the object. Each pixel of the image is projected on the orthophoto plane at its original resolution via an iterative process, which builds an adaptive mesh, defined by means of the three best fitting points, where the collinearity rays and the point cloud intersect. After an overview on the method and its innovative features, an example on a test case is reported, together with a comparison between MAGO’s and another photogrammetric software results.
Is Part Of
	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Cited by
	10745
Doi
	https://doi.org/10.5194/isprs-archives-XLII-2-W11-533-2019
Issn
	1682-1750
Issue
	2
Pages
	533-538
Volume
	42
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/IFYZLE73/item-list

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