HyperLabelMe : A Web Platform for Benchmarking Remote-Sensing Image Classifiers

Jordi Muñoz-Marí,Emma Izquierdo-Verdiguier,Manuel Campos-Taberner,Adrian Perez-Suay,Luis Gómez-Chova,Gonzalo Mateo-Garcia,Ana B. Ruescas,Valero Laparra, Jose A. Padron,Julia Amorós-López,Gustau Camps-Valls

IEEE Geoscience and Remote Sensing Magazine（2017）

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摘要

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/...

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关键词

Hyperspectral imaging,Classification algorithms,Image classification,Benchmark testing,Web and Internet services

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