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In this paper, we present a case study conducted in the archaeological park of Egnazia (Apulia, Southern Italy) based on the integrated use of two different ground-penetrating radar systems plus a magnetometer. The surveys were carried out using a pulsed ground-penetrating radar system, a prototypal reconfigurable stepped frequency ground-penetrating radar and a high-resolution magnetometer. The most important anomalies identified are ascribable to the presence of a massive building structure mainly consisting of masonry, probably dating from the Roman age. Emphasis is on the integration of the results, which has made it possible to produce enhanced images. In particular, two different approaches based on (i) algebraic and (ii) RGB combinations of the data gathered with the three sensors are illustrated and discussed.

Archaeological remains are very often buried under uneven soil of agricultural fields crossed by rather parallel furrows and ridges. Consequently, ploughing in a magnetic survey might produce a repetitive, quite regular, linear noise in the data, which could impede optimal recovery of the archaeological magnetic anomalies; depending on the acquisition line orientation, this noise may show as an oblique, vertical or horizontal pattern in the magnetic maps. Several studies have tested and verified methods for oblique ploughing minimization, but, to our knowledge, no procedures regarding the vertical and horizontal types of noise have been published. The present research proposes a procedure to filter each type of ploughing effect through an algorithm working in the wavenumber domain. The procedure produces images with a considerable reduction of the noise in any direction, resulting in enhanced visibility and readability of the archaeological anomalies. Figure 6. Masks for cases of (a) horizontal ploughing; (b) vertical ploughing; (c) oblique ploughing; (d) combination of cases (a) and (b); (e) combination of cases (b) and (c). [Colour figure can be viewed at wileyonlinelibrary.com]