[HTML][HTML] Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)

L Luo, X Wang, H Guo, R Lasaponara, X Zong… - Remote sensing of …, 2019 - Elsevier
Archaeological and cultural heritage (ACH), one of the core carriers of cultural diversity on
our planet, has a direct bearing on the sustainable development of mankind. Documenting …

Object‐based image analysis: a review of developments and future directions of automated feature detection in landscape archaeology

DS Davis - Archaeological Prospection, 2019 - Wiley Online Library
Object‐based image analysis (OBIA) is a method of assessing remote sensing data that
uses morphometric and spectral parameters simultaneously to identify features in remote …

[BOOK][B] Satellite remote sensing for archaeology

SH Parcak - 2009 - taylorfrancis.com
This handbook is the first comprehensive overview of the field of satellite remote sensing for
archaeology and how it can be applied to ongoing archaeological fieldwork projects across …

Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data

HA Orengo, FC Conesa… - Proceedings of the …, 2020 - National Acad Sciences
This paper presents an innovative multisensor, multitemporal machine-learning approach
using remote sensing big data for the detection of archaeological mounds in Cholistan …

Integrating remote sensing, machine learning, and citizen science in Dutch archaeological prospection

K Lambers, WB Verschoof-van der Vaart… - Remote Sensing, 2019 - mdpi.com
Although the history of automated archaeological object detection in remotely sensed data is
short, progress and emerging trends are evident. Among them, the shift from rule-based …

On oblique random forests

BH Menze, BM Kelm, DN Splitthoff, U Koethe… - Machine Learning and …, 2011 - Springer
In his original paper on random forests, Breiman proposed two different decision tree
ensembles: one generated from “orthogonal” trees with thresholds on individual features in …

Deep learning in archaeological remote sensing: Automated qanat detection in the Kurdistan region of Iraq

M Soroush, A Mehrtash, E Khazraee, JA Ur - Remote Sensing, 2020 - mdpi.com
In this paper, we report the results of our work on automated detection of qanat shafts on the
Cold War-era CORONA Satellite Imagery. The increasing quantity of air and space-borne …

From features to fingerprints: A general diagnostic framework for anthropogenic geomorphology

P Tarolli, W Cao, G Sofia, D Evans… - Progress in Physical …, 2019 - journals.sagepub.com
Human societies have been resha** the geomorphology of landscapes for thousands of
years, producing anthropogenic geomorphic features ranging from earthworks and …

Map** patterns of long-term settlement in Northern Mesopotamia at a large scale

BH Menze, JA Ur - Proceedings of the National Academy of …, 2012 - National Acad Sciences
The landscapes of the Near East show both the first settlements and the longest trajectories
of settlement systems. Mounding is a characteristic property of these settlement sites …

SRTM DEM and its application advances

L Yang, X Meng, X Zhang - International Journal of Remote …, 2011 - Taylor & Francis
The Shuttle Radar Topography Mission (SRTM) provides for the first time a near-global high-
resolution digital elevation model (DEM) with great advantages of homogeneous quality and …