Sensing Archaeology in the North: The Use of Non-Destructive Geophysical and Remote Sensing Methods in Archaeology in Scandinavian and North Atlantic Territories
Abstract:In August 2018, a group of experts working with terrestrial/marine geophysics and remote sensing methods to explore archaeological sites in Denmark, Finland, Norway, Scotland and Sweden gathered together for the first time at the Workshop ‘Sensing Archaeology in The North’. The goal was to exchange experiences, discuss challenges, and consider future directions for further developing these methods and strategies for their use in archaeology. After the event, this special journal issue was arranged to publish p… Show more
“…(5) In (5), the squint angle in frequency domain is given by ( ) P f is the spectrum of transmitted signal. In appendix B, we further present the deducing of (3) in detail.…”
Section: Spectrum In 2-d Frequency Domainmentioning
confidence: 99%
“…HE synthetic aperture sonar (SAS) [1]- [5] originates from its counterpart, synthetic aperture radar (SAR) [6]- [11]. Since SAS and SAR works in different environments, the SAS has been developing its own unique style.…”
To use monostatic based imaging algorithms for multireceiver synthetic aperture sonar, the monostatic conversion is often carried out based on phase centre approximation, which is widely exploited by multireceiver SAS systems. This paper presents a novel aspect for dealing with the multireceiver SAS imagery, which still depends on the idea of monostatic conversion. The approach in this paper is based on Loffeld's bistatic formula that consists of two important terms, i.e., quasi monostatic and bistatic deformation terms. Our basic idea is to preprocess the bistatic deformation term and then incorporate the quasi monostatic term into an analogous monostatic spectrum. With this new spectrum, traditional imaging algorithms designed for monostatic synthetic aperture sonar can be easily exploited. In this paper, we show that Loffeld's bistatic formula can be reduced to the same formula as spectrum based on phase centre approximation when certain conditions are met. Based on our error analysis, the maximum error magnitude of PCA method is about 1 rad, which would noticeably affect the SAS imagery. Fortunately, the error magnitude of presented method can be always kept within π 4 . It means that Loffeld's bistatic formula provides a more accurate approximation of the spectrum compared to that based on phase centre approximation. After that, this paper develops a new imaging scheme and presents imaging results. Based on quantitative comparisons, the presented method well focuses multireceiver SAS data, and it provides better image compared to phase centre approximation method.
“…(5) In (5), the squint angle in frequency domain is given by ( ) P f is the spectrum of transmitted signal. In appendix B, we further present the deducing of (3) in detail.…”
Section: Spectrum In 2-d Frequency Domainmentioning
confidence: 99%
“…HE synthetic aperture sonar (SAS) [1]- [5] originates from its counterpart, synthetic aperture radar (SAR) [6]- [11]. Since SAS and SAR works in different environments, the SAS has been developing its own unique style.…”
To use monostatic based imaging algorithms for multireceiver synthetic aperture sonar, the monostatic conversion is often carried out based on phase centre approximation, which is widely exploited by multireceiver SAS systems. This paper presents a novel aspect for dealing with the multireceiver SAS imagery, which still depends on the idea of monostatic conversion. The approach in this paper is based on Loffeld's bistatic formula that consists of two important terms, i.e., quasi monostatic and bistatic deformation terms. Our basic idea is to preprocess the bistatic deformation term and then incorporate the quasi monostatic term into an analogous monostatic spectrum. With this new spectrum, traditional imaging algorithms designed for monostatic synthetic aperture sonar can be easily exploited. In this paper, we show that Loffeld's bistatic formula can be reduced to the same formula as spectrum based on phase centre approximation when certain conditions are met. Based on our error analysis, the maximum error magnitude of PCA method is about 1 rad, which would noticeably affect the SAS imagery. Fortunately, the error magnitude of presented method can be always kept within π 4 . It means that Loffeld's bistatic formula provides a more accurate approximation of the spectrum compared to that based on phase centre approximation. After that, this paper develops a new imaging scheme and presents imaging results. Based on quantitative comparisons, the presented method well focuses multireceiver SAS data, and it provides better image compared to phase centre approximation method.
“…where ref r denotes the reference range. Based on (14) and Table 1, the residual quadratic coupling error is shown in Figure 10 when the system works with the narrow-bandwidth signal. Here, the reference range is the scene center.…”
“…Originating from synthetic aperture radar (SAR) [1][2][3][4][5][6][7][8][9][10], synthetic aperture sonar (SAS) [11][12][13][14][15][16] attracts investigators' interests due to its high resolution in the underwater field. Nowadays, it is widely applied to underwater mapping [14,15,17,18], target recognition [19][20][21][22], and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Originating from synthetic aperture radar (SAR) [1][2][3][4][5][6][7][8][9][10], synthetic aperture sonar (SAS) [11][12][13][14][15][16] attracts investigators' interests due to its high resolution in the underwater field. Nowadays, it is widely applied to underwater mapping [14,15,17,18], target recognition [19][20][21][22], and so on. Considering the traditional monostatic SAS system, the maximum imaged swath is determined by the pulse repetition frequency (PRF), and the low PRF allows for a wide swath.…”
When the multi-receiver synthetic aperture sonar (SAS) works with a wide-bandwidth signal, the performance of the range-Doppler (R-D) algorithm is seriously affected by two approximation errors, i.e., point target reference spectrum (PTRS) error and residual quadratic coupling error. The former is generated by approximating the PTRS with the second-order term in terms of the instantaneous frequency. The latter is caused by neglecting the cross-track variance of secondary range compression (SRC). In order to improve the imaging performance in the case of wide-bandwidth signals, an improved R-D algorithm is proposed in this paper. With our method, the multi-receiver SAS data is first preprocessed based on the phase center approximation (PCA) method, and the monostatic equivalent data are obtained. Then several sub-blocks are generated in the cross-track dimension. Within each sub-block, the PTRS error and residual quadratic coupling error based on the center range of each sub-block are compensated. After this operation, all sub-blocks are coerced into a new signal, which is free of both approximation errors. Consequently, this new data is used as the input of the traditional R-D algorithm. The processing results of simulated data and real data show that the traditional R-D algorithm is just suitable for an SAS system with a narrow-bandwidth signal. The imaging performance would be seriously distorted when it is applied to an SAS system with a wide-bandwidth signal. Based on the presented method, the SAS data in both cases can be well processed. The imaging performance of the presented method is nearly identical to that of the back-projection (BP) algorithm.
We surveyed in detail the Chalcolithic lithic workshop Fofanovo XIII an East Fennoscandian region by ground‐penetrating radar (GPR). A high‐frequency antenna unit was applied to map small‐scale features, mainly waste flakes. To substantiate the efficiency of the GPR technique, we performed a primary analysis of a set of equivalent models in a sandbox. The laboratory‐scale GPR investigation highlights differences in GPR patterns depending on the spatial arrangement of small features and supports the further interpretation of real‐life data. The GPR survey in the field covered 2200 m2, revealing areas with a high density of artefacts in the cultural layer and locating individual structural elements of the Fofanovo XIII archaeological site. We suggested using microdebitage samples from manual probing to verify the detected anomalous values of GPR attributes. The results point to a significant correlation between microdebitage and the envelope peak amplitude of the echo signal. Ultimately, our study confirmed the cultural layer in the Fofanovo XIII workshop site to be rich in lithic production wastes, indicating it was a place of mass‐scale production of lithic chopping tools.
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