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Automatic Georeferencing of a Heritage of Old Analog Aerial Photographs : Volume Ii-3, Issue 1 (07/08/2014)

By Cléri, I.

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Book Id: WPLBN0003985263
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: Automatic Georeferencing of a Heritage of Old Analog Aerial Photographs : Volume Ii-3, Issue 1 (07/08/2014)  
Author: Cléri, I.
Volume: Vol. II-3, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Pierrot-Deseilligny, M., Vallet, B., & Cléri, I. (2014). Automatic Georeferencing of a Heritage of Old Analog Aerial Photographs : Volume Ii-3, Issue 1 (07/08/2014). Retrieved from

Description: Université Paris-Est, IGN, SRIG, MATIS, EDITE, 73 avenue de Paris, 94160 Saint Mandé, France. Historical photographs become widely used in geographical and environmental applications. Their enhancement involves converting them into georeferenced data, such as orthoimages or digital models. However no ground control points are available unlike in current image processing, and many problems such as image noise, landscape modifications, perspective distortion and unknown sensor calibration prevent automatic tie-point retrieval with current orthoimages. That is why photograph georeferencing remains a manual and time-consuming task. A novel method is presented in this paper to register photographs with current topographic database using line feature matching. Indeed, geometrical considerations only let avoid high radiometric difference issues when dealing with current orthoimages. Besides topographic database use lets selecting stable through time features, such as road network and historical buildings. A multi-scale approach allows very coarse georeferencing initialization, which can be set manually by a minimum number of ground control points per image set. At each scale an iterative processing improves the line matching and the registration model estimation at the same time. Finally, building integration makes registration more reliable for off-ground objects. Results are promising as georeferencing is much improved and its estimation converges in all test cases.

Automatic Georeferencing of a Heritage of old analog aerial Photographs


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