Texture Attribute Analysis of GPR Data for Archaeological Prospection

Abstract

We evaluate the applicability and the effectiveness\ud of texture attribute analysis of 2-D and 3-D GPR datasets obtained\ud in different archaeological environments. Textural attributes are\ud successfully used in seismic stratigraphic studies for hydrocarbon\ud exploration to improve the interpretation of complex subsurface\ud structures. We use a gray-level co-occurrence matrix (GLCM)\ud algorithm to compute second-order statistical measures of textural\ud characteristics, such as contrast, energy, entropy, and homogeneity.\ud Textural attributes provide specific information about the data, and\ud can highlight characteristics as uniformity or complexity, which\ud complement the interpretation of amplitude data and integrate the\ud features extracted from conventional attributes. The results from\ud three archaeological case studies demonstrate that the proposed\ud texture analysis can enhance understanding of GPR data by providing\ud clearer images of distribution, volume, and shape of\ud potential archaeological targets and related stratigraphic units,\ud particularly in combination with the conventional GPR attributes.\ud Such strategy improves the interpretability of GPR data, and can be\ud very helpful for archaeological excavation planning and, more\ud generally, for buried cultural heritage assessment

Non-Invasive Methodological Approach to Detect and Characterize High-Risk Sinkholes in Urban Cover Evaporite Karst: Integrated Reflection Seismics, PS-InSAR, Leveling, 3D-GPR and Ancillary Data. A NE Italian Case Study

“…In the last few years, there is an array of GPR equipment on the market, which are able to collect actual 3D GPR data volumes faster e.g., [79,80]. In fact, with single channel (i.e., classical bistatic) GPR equipment, only 2.5D surveys can be collected [81]. Moreover, while until now the new 3D systems were applied mainly for archaeological applications [82,83], for pipe and tree root detections [84] and for pavement assessments [85], geological applications are less common and limited to the detection and imaging of faults and fractures [86,87].…”

Ground penetrating radar use in flood prevention

“…In the literature, we can find few examples of using GLCM for GPR signal enhancement (McClymont et al 2008;Catakli et al 2011;Zhao et al 2016).…”

Correction to: Ground penetrating radar use in flood prevention

“…In the literature, we can find few examples of using GLMC for GPR signal enhancement (McClymont et al 2008;Catakli et al 2011;Zhao et al 2016).…”