DOCUMENTATION AND DETECTION OF COLOUR CHANGES OF BAS RELIEVES USING CLOSE RANGE PHOTOGRAMMETRY
Autor: | Roberto Pierdicca, Eva Savina Malinverni, Mirco Sturari, F. Colosi, R. Orazi |
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Rok vydání: | 2017 |
Předmět: |
lcsh:Applied optics. Photonics
Engineering media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.software_genre lcsh:Technology 01 natural sciences 0601 history and archaeology Computer vision Segmentation 3D reconstruction change detection Huaca de la Luna Digitization media_common Creative visualization 060102 archaeology Pixel lcsh:T business.industry 010401 analytical chemistry lcsh:TA1501-1820 06 humanities and the arts Image segmentation Pipeline (software) 0104 chemical sciences Workflow lcsh:TA1-2040 Artificial intelligence Data mining lcsh:Engineering (General). Civil engineering (General) business colour decay computer Change detection |
Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5-W1, Pp 203-210 (2017) Geometic and Restoration. Conservation of Cultural Heritage in the digital Era, edited by Tucci G.; Bonora V., pp. 203–210, 2017 info:cnr-pdr/source/autori:Malinverni E.S.; Pierdicca R.; Sturari M.; Colosi F.; Orazi R./titolo:Documentation and detection of colour changes of bas relieves using close range photogrammetry/titolo_volume:Geometic and Restoration. Conservation of Cultural Heritage in the digital Era/curatori_volume:Tucci G.; Bonora V./editore:/anno:2017 |
ISSN: | 2194-9034 |
DOI: | 10.5194/isprs-archives-xlii-5-w1-203-2017 |
Popis: | The digitization of complex buildings, findings or bas relieves can strongly facilitate the work of archaeologists, mainly for in depth analysis tasks. Notwithstanding, whether new visualization techniques ease the study phase, a classical naked-eye approach for determining changes or surface alteration could bring towards several drawbacks. The research work described in these pages is aimed at providing experts with a workflow for the evaluation of alterations (e.g. color decay or surface alterations), allowing a more rapid and objective monitoring of monuments. More in deep, a pipeline of work has been tested in order to evaluate the color variation between surfaces acquired at different époques. The introduction of reliable tools of change detection in the archaeological domain is needful; in fact, the most widespread practice, among archaeologists and practitioners, is to perform a traditional monitoring of surfaces that is made of three main steps: production of a hand-made map based on a subjective analysis, selection of a sub-set of regions of interest, removal of small portion of surface for in depth analysis conducted in laboratory. To overcome this risky and time consuming process, digital automatic change detection procedure represents a turning point. To do so, automatic classification has been carried out according to two approaches: a pixel-based and an object-based method. Pixel-based classification aims to identify the classes by means of the spectral information provided by each pixel belonging to the original bands. The object-based approach operates on sets of pixels (objects/regions) grouped together by means of an image segmentation technique. The methodology was tested by studying the bas-relieves of a temple located in Peru, named Huaca de la Luna. Despite the data sources were collected with unplanned surveys, the workflow proved to be a valuable solution useful to understand which are the main changes over time. |
Databáze: | OpenAIRE |
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