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Accuracy assessment of land cover products in China from 2000 to 2020. [PDF]

open access: yesSci Rep, 2023
The accuracy assessment of land cover data is of significant value to accurately monitor and objectively reproduce spatio-temporal dynamic changes to land surface landscapes.
Li Z, Chen X, Qi J, Xu C, An J, Chen J.
europepmc   +2 more sources

Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States. [PDF]

open access: yesGIsci Remote Sens, 2023
The National Land Cover Database (NLCD), a product suite produced through the MultiResolution Land Characteristics (MRLC) consortium, is an operational land cover monitoring program.
Wickham J   +4 more
europepmc   +2 more sources

Accuracy Assessment of Machine Learning Algorithms Used to Predict Breast Cancer

open access: yesInternational Conference on Data Technologies and Applications, 2023
Machine learning (ML) was used to develop classification models to predict individual tumor patients’ outcomes. Binary classification defined whether the tumor was malignant or benign.
Mohamed Ebrahim, A. Sedky, S. Mesbah
semanticscholar   +1 more source

Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 1: Literature Review

open access: yesRemote 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
semanticscholar   +1 more source

Thematic Accuracy Assessment

open access: yesGeographic Information Science & Technology Body of Knowledge, 2020
Zhe Zhang
openaire   +2 more sources

Accuracy Assessment of Land Use Change Analysis Using Google Earth in Sadar Watershed Mojokerto Regency

open access: yesIOP Conference Series: Earth and Environment, 2022
Mojokerto Regency is one of the regencies in East Java with a high population growth rate of around 0.96%, thus encouraging significant land use changes on built-up areas.
F. Islami   +3 more
semanticscholar   +1 more source

Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 2: Recommendations and Best Practices

open access: yesRemote 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
semanticscholar   +1 more source

Consistency Analysis and Accuracy Assessment of Three Global Ten-Meter Land Cover Products in Rocky Desertification Region - A Case Study of Southwest China

open access: yesISPRS Int. J. Geo Inf., 2022
Rocky desertification is one of the most critical ecological and environmental problems in areas underlain by carbonate rocks globally. Land cover and land use in the region affects large-scale ecosystem processes on a global scale, and many Earth system
Jun Wang   +8 more
semanticscholar   +1 more source

QADI as a New Method and Alternative to Kappa for Accuracy Assessment of Remote Sensing-Based Image Classification

open access: yesItalian National Conference on Sensors, 2022
Classification is a very common image processing task. The accuracy of the classified map is typically assessed through a comparison with real-world situations or with available reference data to estimate the reliability of the classification results ...
B. Feizizadeh   +3 more
semanticscholar   +1 more source

Base-calling of automated sequencer traces using phred. I. Accuracy assessment.

open access: yesGenome Research, 1998
The availability of massive amounts of DNA sequence information has begun to revolutionize the practice of biology. As a result, current large-scale sequencing output, while impressive, is not adequate to keep pace with growing demand and, in particular,
Bland Ewing   +3 more
semanticscholar   +1 more source

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