Landscape Pattern Detection in Archaeological Remote Sensing

Automated detection of landscape patterns on Remote Sensing imagery has seen virtually little or no development in the archaeological domain, notwithstanding the fact that large portion of cultural landscapes worldwide are characterized by land engineering applications. The current extraordinary ava...

Full description

Bibliographic Details
Main Authors: Arianna Traviglia, Andrea Torsello
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/7/4/128
id doaj-3c8b822148aa4362b329b083e83b61bb
record_format Article
spelling doaj-3c8b822148aa4362b329b083e83b61bb2020-11-25T00:09:36ZengMDPI AGGeosciences2076-32632017-12-017412810.3390/geosciences7040128geosciences7040128Landscape Pattern Detection in Archaeological Remote SensingArianna Traviglia0Andrea Torsello1Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, via Torino 155, 30172 Mestre (VE), ItalyDepartment of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, via Torino 155, 30172 Mestre (VE), ItalyAutomated detection of landscape patterns on Remote Sensing imagery has seen virtually little or no development in the archaeological domain, notwithstanding the fact that large portion of cultural landscapes worldwide are characterized by land engineering applications. The current extraordinary availability of remotely sensed images makes it now urgent to envision and develop automatic methods that can simplify their inspection and the extraction of relevant information from them, as the quantity of information is no longer manageable by traditional “human” visual interpretation. This paper expands on the development of automatic methods for the detection of target landscape features—represented by field system patterns—in very high spatial resolution images, within the framework of an archaeological project focused on the landscape engineering embedded in Roman cadasters. The targets of interest consist of a variety of similarly oriented objects of diverse nature (such as roads, drainage channels, etc.) concurring to demark the current landscape organization, which reflects the one imposed by Romans over two millennia ago. The proposed workflow exploits the textural and shape properties of real-world elements forming the field patterns using multiscale analysis of dominant oriented response filters. Trials showed that this approach provides accurate localization of target linear objects and alignments signaled by a wide range of physical entities with very different characteristics.https://www.mdpi.com/2076-3263/7/4/128remote sensinglandscape archaeologypattern extractionarchaeological linear structurescenturiationcadaster
collection DOAJ
language English
format Article
sources DOAJ
author Arianna Traviglia
Andrea Torsello
spellingShingle Arianna Traviglia
Andrea Torsello
Landscape Pattern Detection in Archaeological Remote Sensing
Geosciences
remote sensing
landscape archaeology
pattern extraction
archaeological linear structures
centuriation
cadaster
author_facet Arianna Traviglia
Andrea Torsello
author_sort Arianna Traviglia
title Landscape Pattern Detection in Archaeological Remote Sensing
title_short Landscape Pattern Detection in Archaeological Remote Sensing
title_full Landscape Pattern Detection in Archaeological Remote Sensing
title_fullStr Landscape Pattern Detection in Archaeological Remote Sensing
title_full_unstemmed Landscape Pattern Detection in Archaeological Remote Sensing
title_sort landscape pattern detection in archaeological remote sensing
publisher MDPI AG
series Geosciences
issn 2076-3263
publishDate 2017-12-01
description Automated detection of landscape patterns on Remote Sensing imagery has seen virtually little or no development in the archaeological domain, notwithstanding the fact that large portion of cultural landscapes worldwide are characterized by land engineering applications. The current extraordinary availability of remotely sensed images makes it now urgent to envision and develop automatic methods that can simplify their inspection and the extraction of relevant information from them, as the quantity of information is no longer manageable by traditional “human” visual interpretation. This paper expands on the development of automatic methods for the detection of target landscape features—represented by field system patterns—in very high spatial resolution images, within the framework of an archaeological project focused on the landscape engineering embedded in Roman cadasters. The targets of interest consist of a variety of similarly oriented objects of diverse nature (such as roads, drainage channels, etc.) concurring to demark the current landscape organization, which reflects the one imposed by Romans over two millennia ago. The proposed workflow exploits the textural and shape properties of real-world elements forming the field patterns using multiscale analysis of dominant oriented response filters. Trials showed that this approach provides accurate localization of target linear objects and alignments signaled by a wide range of physical entities with very different characteristics.
topic remote sensing
landscape archaeology
pattern extraction
archaeological linear structures
centuriation
cadaster
url https://www.mdpi.com/2076-3263/7/4/128
work_keys_str_mv AT ariannatraviglia landscapepatterndetectioninarchaeologicalremotesensing
AT andreatorsello landscapepatterndetectioninarchaeologicalremotesensing
_version_ 1725411002468532224