Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification

Remote sensing image scene classification, which consists of labeling remote sensing images with a set of categories based on their content, has received remarkable attention for many applications such as land use mapping. Standard approaches are based on the multi-layer representation of first-orde...

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書誌詳細

主要な著者:	Sara Akodad, Lionel Bombrun, Junshi Xia, Yannick Berthoumieu, Christian Germain
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-10-01
シリーズ:	Remote Sensing
主題:	transfer learning covariance matrices log-euclidean metric ensemble learning remote sensing scene classification fisher vector
オンライン･アクセス:	https://www.mdpi.com/2072-4292/12/20/3292
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