Results 21 to 30 of about 2,917,023 (283)
Analysis of Thematic Similarity Using Confusion Matrices
ISPRS International Journal of Geo-Information, 2018 The confusion matrix is the standard way to report on the thematic accuracy of geographic data (spatial databases, topographic maps, thematic maps, classified images, remote sensing products, etc.).
José L. García-Balboa +3 more
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A Suite of Tools for Assessing Thematic Map Accuracy [PDF]
Geography Journal, 2014 Although land use/cover maps are widely used to support management and environmental policies, only some studies have reported their accuracy using sound and complete assessments. Thematic map accuracy assessment is typically achieved by comparing reference sites labeled with the “ground-truth” category to the ones depicted in the land use/cover map. A
Jean-François Mas +5 more
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Sample Data for Thematic Accuracy Assessment in QGIS
, 2022 AbstractWe present an approach that is widely used in the field of remote sensing for the validation of single LUC maps. Unlike other chapters in this book, where maps are validated by comparison with other maps with better resolution and/or quality, this approach requires a ground sample dataset, i.e.
Miguel Ángel Castillo-Santiago +2 more
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An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource
Remote Sensing, 2018 A variety of metrics are commonly employed by map producers and users to assess and compare thematic maps’ quality, but their use and interpretation is inconsistent.
Carl Salk +4 more
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Remote Sensing:Statistical Testing of Thematic Map Accuracy [PDF]
, 1978 In order to achieve wider acceptance among users of thematic maps derived from remote sensing data, the interpreter must be able to specify the accuracy of his product.
Vass, P.A. +2 more
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Systematic reviews of diagnostic test accuracy
, 2008 More and more systematic reviews of diagnostic test accuracy studies are being published, but they can be methodologically challenging. In this paper, the authors present some of the recent developments in the methodology for conducting systematic ...
JJ Deeks +6 more
core +2 more sources
, 2004 This Thematic Network aims at developing the European dimension of Higher Engineering Education by enhancing the compatibility of the many diverse routes to the profession of engineer, by facilitating greater mobility and integration of skilled personnel
Maffioli, Francesco +2 more
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Remote Sensing, 2021 Convolutional neural network (CNN)-based deep learning (DL) is a powerful, recently developed image classification approach. With origins in the computer vision and image processing communities, the accuracy assessment methods developed for CNN-based DL ...
Aaron E. Maxwell +2 more
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Remote Sensing, 2021 Convolutional neural network (CNN)-based deep learning (DL) has a wide variety of applications in the geospatial and remote sensing (RS) sciences, and consequently has been a focus of many recent studies.
Aaron E. Maxwell +2 more
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Remote Sensing, 2014 The accuracy of different coarse-resolution land cover products is an important consideration for product users at the regional or global scale, and different evaluation methods inevitably result in discrepancies in accuracy for the same land cover ...
Zhihui Wang, Liangyun Liu
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