Improving Remote Sensing Scene Classification by Integrating Global-Context and Local-Object Features
REMOTE SENSING, 2018.
Recently, many researchers have been dedicated to using convolutional neural networks (CNNs) to extract global-context features (GCFs) for remote-sensing scene classification. Commonly, accurate classification of scenes requires knowledge about both the global context and local objects. However, unlike the natural images in which the obje...More
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