Finding archaeological cropmarks: a hyperspectral approach

Observatory validation of Neolithic tells (“Magoules”) in the Thessalian plain, central Greece, using hyperspectral spectroradiometric data

“…In addition, it was proved that spectral differences, in vegetated areas, linked to the presence of ancient buried structures were better emphasized in the near infrared (NIR) band. Aqdus et al (2008) came to the same conclusion by using hyperspectral data.…”

“…Vegetation indices have already been used and applied for the detection of archaeological crop marks in different areas (e.g. Rowlands and Sarris, 2007;Masini and Lasaponara, 2007;Cavalli et al, 2007;Parcak, 2009;Lasaponara and Masini, 2005Aqdus et al, 2007Aqdus et al, , 2008Bassani et al, 2009). For example, Masini and Lasaponara (2007) showed that the usage of Quickbird multispectral data can be very promising in order to reconstruct the shape of buried remains.…”

“…The majority of these studies focused on the use of high resolution satellite imagery like IKONOS and QuickBird (Altaweel, 2005;Lasaponara and Masini, 2005. Hyperspectral satellite images such as HYPERION and MIVIS have been found to be suitable for retrieving valuable information in an archaeological context revealing buried architectural remains (Traviglia, 2005;Aqdus et al, 2007Aqdus et al, , 2008Bassani et al, 2009). …”

The potential of hyperspectral and multi-spectral imagery to enhance archaeological cropmark detection: a comparative study

“…This paper will focus on the results from the first two spectral enhancement techniques. For discussion of the results from the application of different band combinations see Aqdus et al, 2007Aqdus et al, , 2008 PCA is a standard multivariate statistical method used to reduce the dimensionality of data which results in the reduction of redundant information (Jensen, 2005). All principal components (PCs) are independent of each other.…”

Automated Extraction of Archaeological Traces by a Modified Variance Analysis

“…Different types of remote sensing imagery have been used including aerial photographs [1,2], spaceborne optical images [3][4][5][6], spaceborne and airborne RADAR images [7], airborne LIDAR images [8,9], airborne imaging spectroscopy and hyperspectral imagery [10,11]. In the literature, much work has been done to develop automatic algorithms to support the digitalization of man-made structures such as buildings and roads [12][13][14][15][16][17].…”