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The digitization of complex buildings, findings or bas relieves can strongly facilitate the work of archaeologists, mainly for in depth\udanalysis tasks. Notwithstanding, whether new visualization techniques ease the study phase, a classical naked-eye approach for determining\udchanges or surface alteration could bring towards several drawbacks. The research work described in these pages is aimed\udat providing experts with a workflow for the evaluation of alterations (e.g. color decay or surface alterations), allowing a more rapid\udand objective monitoring of monuments. More in deep, a pipeline of work has been tested in order to evaluate the color variation\udbetween surfaces acquired at different époques. The introduction of reliable tools of change detection in the archaeological domain is\udneedful; in fact, the most widespread practice, among archaeologists and practitioners, is to perform a traditional monitoring of surfaces\udthat 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\udinterest, removal of small portion of surface for in depth analysis conducted in laboratory. To overcome this risky and time consuming\udprocess, digital automatic change detection procedure represents a turning point. To do so, automatic classification has been carried\udout according to two approaches: a pixel-based and an object-based method. Pixel-based classification aims to identify the classes by\udmeans of the spectral information provided by each pixel belonging to the original bands. The object-based approach operates on sets\udof pixels (objects/regions) grouped together by means of an image segmentation technique. The methodology was tested by studying\udthe bas-relieves of a temple located in Peru, named Huaca de la Luna. Despite the data sources were collected with unplanned surveys,\udthe workflow proved to be a valuable solution useful to understand which are the main changes over time

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

DOCUMENTATION AND DETECTION OF COLOUR CHANGES OF BAS RELIEVES USING CLOSE RANGE PHOTOGRAMMETRY