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Niko Anttiroiko

Biographic Data

ID6632134
NAMENiko Anttiroiko
GIVEN NAMESNiko
FAMILY NAMEAnttiroiko
SIGNATUREANTTIROIKO N
AFFILIATIONSDepartment of Cultures University of Helsinki Helsinki Finland
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS3
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX1
  • What Should We Do With These? Challenges related to (semi-)automatically detected sites and features. A note

    Open Access•Finnish Heritage Agency, Niko Anttiroiko•ARTICLE•Internet Archaeology•2024

    Recent advances in machine learning and computer vision techniques have brought (semi-)automatic feature detection within reach of an increasing number of archaeologists and archaeological institutions, including those in Finland. These techniques improve our ability to detect and gather information on archaeological cultural heritage over vast areas in a highly efficient manner. However, the widespread adoption of such methods can also pose sign…

  • UAV survey at archaeological earthwork sites in the Brazilian state of Acre, southwestern Amazonia

    Open Access•Sanna Saunaluoma, Niko Anttiroiko et al.•ARTICLE•Archaeological Prospection•2019•Cited by: 3•References: 7

    Unmanned aerial vehicles (UAVs) are increasingly used for many scientific applications, including archaeological surveys. We test the suitability and practicability of UAV surveying in the tropical lowlands of Brazil and techniques for visualizing the resulting digital elevation models, specifically the Red Relief Image Map (RRIM). We present the results of UAV surveys conducted at four diverse archaeological earthwork sites situated in interfluv…

  • UAV survey at archaeological earthwork sites in the Brazilian state of Acre, southwestern Amazonia

    Open Access•Sanna Saunaluoma, Niko Anttiroiko et al.•ARTICLE•Archaeological Prospection•2019•Cited by: 3•References: 7

    Unmanned aerial vehicles (UAVs) are increasingly used for many scientific applications, including archaeological surveys. We test the suitability and practicability of UAV surveying in the tropical lowlands of Brazil and techniques for visualizing the resulting digital elevation models, specifically the Red Relief Image Map (RRIM). We present the results of UAV surveys conducted at four diverse archaeological earthwork sites situated in interfluv…

  • UAV survey at archaeological earthwork sites in the Brazilian state of Acre, southwestern Amazonia

    Open Access•Sanna Saunaluoma, Niko Anttiroiko et al.•ARTICLE•Archaeological Prospection•2019•Cited by: 3•References: 7

    Unmanned aerial vehicles (UAVs) are increasingly used for many scientific applications, including archaeological surveys. We test the suitability and practicability of UAV surveying in the tropical lowlands of Brazil and techniques for visualizing the resulting digital elevation models, specifically the Red Relief Image Map (RRIM). We present the results of UAV surveys conducted at four diverse archaeological earthwork sites situated in interfluv…

  • What Should We Do With These? Challenges related to (semi-)automatically detected sites and features. A note

    Open Access•Finnish Heritage Agency, Niko Anttiroiko•ARTICLE•Internet Archaeology•2024

    Recent advances in machine learning and computer vision techniques have brought (semi-)automatic feature detection within reach of an increasing number of archaeologists and archaeological institutions, including those in Finland. These techniques improve our ability to detect and gather information on archaeological cultural heritage over vast areas in a highly efficient manner. However, the widespread adoption of such methods can also pose sign…

Computer Science (2 works) · 3D Surveying and Cultural Heritage (1 work) · Acre (1 work) · Advanced Neural Network Applications (1 work) · Aerial Survey (1 work) · Amazon rainforest (1 work) · Anomaly Detection Techniques and Applications (1 work) · Archaeological Research and Protection (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work)

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