TY - JOUR
T1 - HyperLabelMe
T2 - A Web Platform for Benchmarking Remote-Sensing Image Classifiers
AU - Munoz-Mari, Jordi
AU - Izquierdo-Verdiguier, E.
AU - Campos-Taberner, Manuel
AU - Perez-Suay, Adrian
AU - Gomez-Chova, Luis
AU - Mateo-Garcia, Gonzalo
AU - Ruescas, Ana B.
AU - Laparra, Valero
AU - Padron, Jose A.
AU - Amoros-Lopez, Julia
AU - Camps-Valls, Gustau
PY - 2017/12/1
Y1 - 2017/12/1
N2 - HyperLabelMe is a web platform that allows the automatic benchmarking of remote-sensing image classifiers. To demonstrate this platform's attributes, we collected and harmonized a large data set of labeled multispectral and hyperspectral images with different numbers of classes, dimensionality, noise sources, and levels. The registered user can download training data pairs (spectra and land cover/use labels) and submit the predictions for unseen testing spectra. The system then evaluates the accuracy and robustness of the classifier, and it reports different scores as well as a ranked list of the best methods and users. The system is modular, scalable, and ever-growing in data sets and classifier results.
AB - HyperLabelMe is a web platform that allows the automatic benchmarking of remote-sensing image classifiers. To demonstrate this platform's attributes, we collected and harmonized a large data set of labeled multispectral and hyperspectral images with different numbers of classes, dimensionality, noise sources, and levels. The registered user can download training data pairs (spectra and land cover/use labels) and submit the predictions for unseen testing spectra. The system then evaluates the accuracy and robustness of the classifier, and it reports different scores as well as a ranked list of the best methods and users. The system is modular, scalable, and ever-growing in data sets and classifier results.
KW - ITC-ISI-JOURNAL-ARTICLE
KW - n/a OA procedure
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1109/MGRS.2017.2762476
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/isi/izquierdoverdiguier_hyp.pdf
U2 - 10.1109/MGRS.2017.2762476
DO - 10.1109/MGRS.2017.2762476
M3 - Article
AN - SCOPUS:85040317495
SN - 2168-6831
VL - 5
SP - 79
EP - 85
JO - IEEE geoscience and remote sensing magazine
JF - IEEE geoscience and remote sensing magazine
IS - 4
ER -