Leveraging machine learning and spectroscopic techniques towards estimating paper map scale levels

Map visual complexity has been a significant area of focus in cartographic research.Current methodologies provide a variety of techniques and metrics that can be used to objectively assess both the effectiveness and the efficiency of maps (e.g.,

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Publication Details

Journal
Abstracts of the ICA
Published
2024-09-02
DOI
https://doi.org/10.5194/ica-abs-7-104-2024
Primary Topic
Image Retrieval and Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

Leveraging machine learning and spectroscopic techniques towards estimating paper map scale levels

Loukas-Moysis Misthos, Anastasios L. Kesidis, N. Merlemis, Vassilios Krassanakis
Abstracts of the ICA
Image Retrieval and Classification Techniques
article

Leveraging machine learning and spectroscopic techniques towards estimating paper map scale levels

Loukas-Moysis Misthos, Anastasios L. Kesidis, N. Merlemis, Vassilios Krassanakis
article en

Abstract

Map visual complexity has been a significant area of focus in cartographic research.Current methodologies provide a variety of techniques and metrics that can be used to objectively assess both the effectiveness and the efficiency of maps (e.g.,

Abstracts of the ICAVol. 7
University of West Attica (GR)
Openalex Percentile: Top 87%
Image Retrieval and Classification Techniques
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