Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs

Verhoeven, Geert; Doneus, Michael; Briese, Christian; Vermeulen, Frank

doi:10.1016/j.jas.2012.02.022

Cited by 192 publications

(138 citation statements)

References 26 publications

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“…The software was chosen as it has been proven to be effective in the production of dense and accurate point clouds over forest areas [9]. Photoscan offers a user-friendly processing pipeline that combines proprietary algorithms from computer vision SfM and stereo-matching algorithms to accomplish the tasks of image alignment and multiview stereo-reconstruction [46]. In our study, an intermediate step of camera alignment optimization was carried out using accurately measured GCPs.…”

Section: Photogrammetric Processingmentioning

confidence: 99%

Inventory of Small Forest Areas Using an Unmanned Aerial System

et al. 2015

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Acquiring high spatial and temporal resolution imagery from small unmanned aerial systems (sUAS) provides new opportunities for inventorying forests at small scales. Only a few studies have investigated the use of UASs in forest inventories, and the results are inconsistent and incomplete. The present study used three-dimensional (3D) variables derived from UAS imagery in combination with ground reference data to fit linear models for Lorey's mean height (hL), dominant height (hdom), stem number (N), basal area (G), and stem volume (V The results revealed that the use of UAS imagery can provide relatively accurate and timely forest inventory information at a local scale. In addition, the present study highlights the practical advantages of UAS-assisted forest inventories, including adaptive planning, high project customization, and rapid implementation, even under challenging weather conditions.

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Section: Photogrammetric Processingmentioning

confidence: 99%

Inventory of Small Forest Areas Using an Unmanned Aerial System

et al. 2015

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“…This procedure finds the optimal borders between the images and creates seams based on those borders, requiring an image overlapping of 40 to 70 %. Mosaicking minimizes misalignments, which are especially visible in borders of two contiguous images (Wan et al, 2013); the main advantages of this include image spatial continuity, allowing for coastline location on longer coastal stretches and facilitating the search for common ground control points (GPCs) (Verhoeven et al, 2012). Mosaics were georeferenced using GCPs that corresponded to common elements in both datasets, evenly distributed along the coastline.…”

Section: Mapping Proceduresmentioning

confidence: 99%

Coastline evolution of Portuguese low-lying sandy coast in the last 50 years: an integrated approach

Lira

Silva

Taborda

et al. 2016

Earth Syst. Sci. Data

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Abstract. Regional/national-scale information on coastline rates of change and trends is extremely valuable, but these studies are scarce. A widely accepted standardized methodology for analysing long-term coastline change has been difficult to achieve, but it is essential to conduct an integrated and holistic approach to coastline evolution and hence support coastal management actions. Additionally, databases providing knowledge on coastline evolution are of key importance to support both coastal management experts and users.The main objective of this work is to present the first systematic, national-scale and consistent long-term coastline evolution data of Portuguese mainland low-lying sandy coasts.The methodology used quantifies coastline evolution using a unique and robust coastline indicator (the foredune toe), which is independent of short-term changes.The dataset presented comprises (1) two polyline sets, mapping the 1958 and 2010 sandy beach-dune system coastline, both optimized for working at 1 : 50 000 scale or smaller; (2) one polyline set representing long-term change rates between 1958 and 2010, each estimated at 250 m; and (3) a table with minimum, maximum and mean of evolution rates for sandy beach-dune system coastline. All science data produced here are openly accessible at https://doi.pangaea.de/10.1594/PANGAEA.859136 and can be used in other studies.Results show beach erosion as the dominant trend, with a mean change rate of −0.24 ± 0.01 m year −1 for all mainland Portuguese beach-dune systems. Although erosion is dominant, this evolution is variable in signal and magnitude in different coastal sediment cells and also within each cell. The most relevant beach erosion issues were found in the coastal stretches of Espinho-Torreira and Costa Nova-Praia de Mira, Cova da Gala-Leirosa, and Cova do Vapor-Costa da Caparica. The coastal segments Minho River-Nazaré and Costa da Caparica adjacent to the coast exhibit a history of major human interventions interfering with the coastal system, many of which originated and maintained a sediment deficit. In contrast, the coastal segments Troia-Sines and SinesCape S. Vicente have experienced less intervention and show stable or moderate accretion behaviour.

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“…The working principles of SfM are similar to those of stereoscopic photogrammetry, namely that the 3D model can be created from overlapping, offset images. However, unlike traditional photogrammetry, in which either the position of the camera or the positions of some points are known prior to scene reconstruction (Fonstad et al, 2013;Verhoeven et al, 2012;Westoby et al, 2012), in the SfM, matches are made between points across many photographs without prior knowledge of the camera position (Lowe, 2004).…”

Section: Surface Elevation Changes Through Structure-from-motionmentioning

confidence: 99%

“…The images acquired were processed using the commercial software Agisoft PhotoScan®, as already successfully considered in different analyses (Doneus et al, 2011;Javernick et al, 2014;Piermattei et al, 2016;Prosdocimi et al, 2015;Verhoeven et al, 2012;Woodget et al, 2015). A custom algorithm similar to the Lowe's (2004) Scale Invariant Feature Transform (SIFT) object recognition system was used by the software to determine the 3D location of matching features in multiple images.…”

Section: Surface Elevation Changes Through Structure-from-motionmentioning

confidence: 99%

“…Then, camera position was calculated by estimating the camera's intrinsic (focal length, principal point, and lens distortion) and extrinsic (projection centre location and the six exterior orientation parameters that define the image) orientation parameters. This was done by using a bundle-adjustment algorithm (Javernick et al, 2014;Robertson and Cipolla, 2009;Verhoeven et al, 2012). Afterwards, the software created a dense surface, usually referred to as mesh, by using these parameters and a dense multi-view stereo reconstruction (DMVR) (Agisoft, 2016).…”

Section: Surface Elevation Changes Through Structure-from-motionmentioning

confidence: 99%

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Rainfall simulation and Structure-from-Motion photogrammetry for the analysis of soil water erosion in Mediterranean vineyards

Prosdocimi

Burguet

Prima

et al. 2017

Science of The Total Environment

102

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Soil water erosion is a serious problem, especially in agricultural lands. Among these, vineyards deserve attention, because they constitute for the Mediterranean areas a type of land use affected by high soil losses. A significant problem related to the study of soil water erosion in these areas consists in the lack of a standardized procedure of collecting data and reporting results, mainly due to a variability among the measurement methods applied. Given this issue and the seriousness of soil water erosion in Mediterranean vineyards, this works aims to quantify the soil losses caused by simulated rainstorms, and compare them with each other depending on two different methodologies: (i) rainfall simulation and (ii) surface elevation change-based, relying on high-resolution Digital Elevation Models (DEMs) derived from a photogrammetric technique (Structure-from-Motion or SfM). The experiments were carried out in a typical Mediterranean vineyard, located in eastern Spain, at very fine scales. SfM data were obtained from one reflex camera and a smartphone built-in camera. An index of sediment connectivity was also applied to evaluate the potential effect of connectivity within the plots. DEMs derived from the smartphone and the reflex camera were comparable with each other in terms of accuracy and capability of estimating soil loss. Furthermore, soil loss estimated with the surface elevation change-based method resulted to be Contents lists available at ScienceDirectScience of the Total Environment j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s c i t o t e n v of the same order of magnitude of that one obtained with rainfall simulation, as long as the sediment connectivity within the plot was considered. High-resolution topography derived from SfM revealed to be essential in the sediment connectivity analysis and, therefore, in the estimation of eroded materials, when comparing them to those derived from the rainfall simulation methodology. The fact that smartphones built-in cameras could produce as much satisfying results as those derived from reflex cameras is a high value added for using SfM.

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Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs

Cited by 192 publications

References 26 publications

Inventory of Small Forest Areas Using an Unmanned Aerial System

Inventory of Small Forest Areas Using an Unmanned Aerial System

Coastline evolution of Portuguese low-lying sandy coast in the last 50 years: an integrated approach

Rainfall simulation and Structure-from-Motion photogrammetry for the analysis of soil water erosion in Mediterranean vineyards

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