Integration of Low-Resolution ALS and Ground-Based SfM Photogrammetry Data. A Cost-Effective Approach Providing an ‘Enhanced 3D Model’ of the Hound Tor Archaeological Landscapes (Dartmoor, South-West England)

Remote Sensing

Jindřich Plzák¹  João Fonte²  Lukáš Holata²  Radek Světlík³ 

[1] Archeodata, Polní 1158, Vejprnice 330 27, Czech Republic;Department of Archaeology, University of Exeter, Laver Building, North Park Road, EX4 4QE Exeter, UK;Education and Research Library of Pilsener Region, Smetanovy sady 2, Pilsen 301 00, Czech Republic;

关键词: airborne laser scanning;    structure from motion;    data integration;    point cloud;    3D models;    augmented reality;    deserted medieval settlement;    field systems;    landscape;   

DOI  :  10.3390/rs10091357

来源: DOAJ

【 摘 要 】

Airborne laser scanning (ALS) data is increasingly distributed freely for ever larger territories, albeit usually in only low resolution. This data source is extensively used in archaeology; however, various remains of past human activities are not recorded in sufficient detail, or are missing completely. The main purpose of this paper is to present a cost-effective approach providing reliable and accurate 3D documentation of the deserted medieval settlement of Hound Tor, a complex site consisting of preserved stone building walls and field system remains. The proposed procedure integrates ALS data with structure from motion (SfM) photogrammetry into a single data source (point cloud). Taking advantage of the benefits of both techniques (reclassified ALS data documents the hinterland, while SfM records the residential area in high detail), an enhanced 3D model has been created surpassing the available ALS data and reflecting the actual state of preserved features. The final outputs will help with the management of the site, its presentation to the general public, and also to enrich understanding of it. As both data sources are currently easily accessible and the proposed procedure has only limited budget requirements, it can be easily adopted and applied extensively (e.g., for virtual preservation of threatened complex sites and areas).

【 授权许可】

Unknown