NDLI: Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras

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Multi-Epoch and Multi-Imagery (MEMI) Photogrammetric Workflow for Enhanced Change Detection Using Time-Lapse Cameras

Content Provider	MDPI
Author	Blanch, Xabier Eltner, Anette Guinau, Marta Abellan, Antonio
Copyright Year	2021
Description	Photogrammetric models have become a standard tool for the study of surfaces, structures and natural elements. As an alternative to Light Detection and Ranging (LiDAR), photogrammetry allows 3D point clouds to be obtained at a much lower cost. This paper presents an enhanced workflow for image-based 3D reconstruction of high-resolution models designed to work with fixed time-lapse camera systems, based on multi-epoch multi-images (MEMI) to exploit redundancy. This workflow is part of a fully automatic working setup that includes all steps: from capturing the images to obtaining clusters from change detection. The workflow is capable of obtaining photogrammetric models with a higher quality than the classic Structure from Motion (SfM) time-lapse photogrammetry workflow. The MEMI workflow reduced the error up to a factor of 2 when compared to the previous approach, allowing for M3C2 standard deviation of 1.5 cm. In terms of absolute accuracy, using LiDAR data as a reference, our proposed method is 20% more accurate than models obtained with the classic workflow. The automation of the method as well as the improvement of the quality of the 3D reconstructed models enables accurate 4D photogrammetric analysis in near-real time.
Starting Page	1460
e-ISSN	20724292
DOI	10.3390/rs13081460
Journal	Remote Sensing
Issue Number	8
Volume Number	13
Language	English
Publisher	MDPI
Publisher Date	2021-04-09
Access Restriction	Open
Subject Keyword	Remote Sensing Time-lapse Photogrammetry Multi-view Stereo 3d Point Clouds Change Detection Rockslope Monitoring Multi-epoch and Multi-imagery (memi)
Content Type	Text
Resource Type	Article

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