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Original paper

Remote Sensing Scene Classification by Gated Bidirectional Network

Volume: 58, Issue: 1, Pages: 82 - 96
Published: Sep 18, 2019
Abstract
Remote sensing (RS) scene classification is a challenging task due to various land covers contained in RS scenes. Recent RS classification methods demonstrate that aggregating the multilayer convolutional features, which are extracted from different hierarchical layers of a convolutional neural network, can effectively improve classification accuracy. However, these methods treat the multilayer convolutional features as equally important and...
Paper Details
Title
Remote Sensing Scene Classification by Gated Bidirectional Network
Published Date
Sep 18, 2019
Volume
58
Issue
1
Pages
82 - 96
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