Presentation + Paper
17 October 2023 Automatic extraction of former WWI battlefields from ancient maps
Nelly Paradelle, Marianne Laslier, Guillaume Decocq
Author Affiliations +
Abstract
The former battlefields of World War I (WWI) provide an interesting framework for studying the long-term impacts of ancient anthropogenic disturbances on current ecosystem functioning. The 47 map sheets of devastated regions at 1:50,000 scale edited in 1920 by the geographic service of French army locate the areas heavily damaged by trenches and bombing, the destructed cities, roads and forests inventoried at the end of WWI. As they stand, these scanned maps are not usable under a geographic information system (GIS). A protocol was implemented on 5 sheets to compare the effect of two transformation models (thin plate spline and polynomial order 3) and the number of ground control points on the quality of georeferencing. A second protocol based on morphological operators, color space transformation and K-means clustering classification was tested on 12 different map sheets to extract areas heavily damaged and figures of punctual destructions. Neither significant effects of transformation model or number of ground control points were confirmed. The local thin plate spline method exacerbates non-natural local distortions linked to the research of ground control points and the simplification of physical objects on the maps. With polynomial order 3 transformation and 50 ground control points, residuals vary from 35 to 70 m depending on the map. The second protocol extracted accurately data of interest, with an accuracy varying between 0.31 and 100% depending on data to extract and their presence or absence on the map sheets. The resulting shapefiles are now available and workable in GIS.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Nelly Paradelle, Marianne Laslier, and Guillaume Decocq "Automatic extraction of former WWI battlefields from ancient maps", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127270H (17 October 2023); https://doi.org/10.1117/12.2684009
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KEYWORDS
Georeferencing

Geographic information systems

Visualization

Feature extraction

CIE 1931 color space

Color image segmentation

Contamination

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