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THE IEEE GRSS STANDARDIZED REMOTE SENSING DATA WEBSITE: A STEP TOWARDS “SCIENCE 2.0” IN REMOTE SENSING

机译：IEEE GRSS标准化遥感数据网站：迈向“Science 2.0”遥感的一步

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The issue of homogeneity in performance assessment of proposed algorithms for information extraction is generally perceived also in the Earth Observation (EO) domain. Different authors propose different datasets to test their developed algorithms and to the reader it is frequently difficult to assess which is better for his/her specific application, given the wide variability in test sets that makes pure comparison of e.g. accuracy values less meaningful than one would desire. With our work, we gave a modest contribution to ease the problem by making it possible to automatically distribute a limited set of possible “standard” open datasets, together with some ground truth info, and automatically assess processing results provided by the users.

机译：用于信息提取的提出算法的性能评估的均匀性问题通常也在地球观察（EO）域中感染。不同的作者提出了不同的数据集来测试其开发的算法和读者，鉴于测试集中的纯粹比较的宽变异性，较好地评估他/她的特定应用。精度值不比一个人想要的价值不太有意义。通过我们的工作，我们通过使可能会自动分发有限的可能的“标准”开放数据集，以及一些地面真理信息，并自动评估用户提供的处理结果来缓解问题。

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《Living planet symposium》|2016年|1 CD-ROM|共4页
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Fabio Dell’Acqua; Gianni Cristian Iannelli; John Kerekes; Gianni Lisini; Gabriele Moser; Niccolò Ricardi; Leland Pierce;
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THE IEEE GRSS STANDARDIZED REMOTE SENSING DATA WEBSITE: A STEP TOWARDS “SCIENCE 2.0” IN REMOTE SENSING

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