Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 203-210, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
15 May 2017
E. S. Malinverni1, R. Pierdicca1, M. Sturari2, F. Colosi3, and R. Orazi3 1Universtitá Politecnica delle Marche, Dipartimento di Ingegneria Civile, Edile e dell’ Architettura, Italy
2Universtitá Politecnica delle Marche, Dipartimento di Ingegneria dell’ Informazione Via Brecce Bianche, 60100, Ancona, Italy
3Consiglio Nazionale delle Ricerche, Istituto per le Tecnologie Applicate ai Beni Culturali, Italy
Keywords: Change Detection, Colour Decay, 3D Reconstruction, Archaeology, Digital Photogrammetry, Classification, Segmentation Abstract. 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.
Conference paper (PDF, 11462 KB)

Citation: Malinverni, E. S., Pierdicca, R., Sturari, M., Colosi, F., and Orazi, R.: DOCUMENTATION AND DETECTION OF COLOUR CHANGES OF BAS RELIEVES USING CLOSE RANGE PHOTOGRAMMETRY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5/W1, 203-210,, 2017.

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