Orthogonal equations for the detection of hidden archaeological remains de-mystified
Bibliographic Data
| ID | 13097075 |
|---|---|
| Authors | Άθως Αγαπίου (Cyprus University of Technology, corresponding author) |
| Year | 2016 |
| Volume | 14 |
| Pages | 792-799 |
| Publication date | 2016-07-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Archaeological Science Reports (JOURNAL) |
| Journal identifiers | ISSN: 2352-409X • E-ISSN: 2352-4103 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jasrep.2016.07.004 |
| OpenAlex | W2470013172 |
| Language | EN |
| Citations received | 2 |
| References cited | 17 |
Spectral variations of vegetation, known as crop marks, have been widely used for archaeological research as a proxy to detect buried archaeological remains. Such marks can be recognized using space-borne data and image analysis techniques supported by the existing archaeological knowledge of the area under study. Orthogonal equations for the enhancement and detection of crop marks using multispectral satellite images have been recently proposed in the literature. The proposed equations are linear transformations of the initial spectral bands of multispectral datasets aiming to the improvement of the satellite images. For the calculation of the n-space coefficients of this linear transformation a four-step methodology was followed, separately for each sensor. This paper aims to provide the fundamental concept of the development of these equations as well as some aspects related with the application and accuracy assessment. Spectral characteristics of the sensor, atmospheric effects, and spectral calibration of the datasets as well as the selection of the appropriate period for applying these equations for the enhancements of crop marks are also discussed. Such orthogonal equations may be further developed and applied for any kind of sensor either hyperspectral or multispectral for the detection of buried archaeological remains. An example of the applicability of the orthogonal equations at Stonehenge archaeological site is also demonstrated
Archaeology · Geography · Geometry · Hyperspectral imaging · Linear equation · Multispectral image · Physics · Remote sensing · Satellite · Spectral space · Transformation (genetics · Archaeological Research and Protection · Archaeology and ancient environmental studies · Computer Science · Cultural Heritage Materials Analysis · Mathematics · Geology
Cropmarks in main field crops enable the identification of a wide spectrum of buried features on archaeological sites in Central Europe
Optimum temporal and spectral window for monitoring crop marks over archaeological remains in the Mediterranean region
Unveiling the prehistoric landscape at Stonehenge through multi-receiver EMI
Integrated GIS, remote sensing and geomorphologic approaches for the reconstruction of the landscape habitation of Thessaly during the neolithic period
Remote hyperspectral imagery as a support to archaeological prospection
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,22 |
| Citation span | 2017 - 2019 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |