2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) 2019
DOI: 10.1109/cyberc.2019.00031
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Info-Retrieval with Relevance Feedback using Hybrid Learning Scheme for RS Image

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“…RS image retrieval got more attention, it has some limitations due to the scarcity of datasets and the complicated characteristics of RS image data. 4) Interactive RS image retrieval [27], [28], [29]: Experts in the image processing community employ active learning (AL) methods to iteratively boost the retrieval performance by taking the user's feedback into account [30]. AL leverages an expert oracle to label the most informative samples from the unlabeled archive.…”
mentioning
confidence: 99%
“…RS image retrieval got more attention, it has some limitations due to the scarcity of datasets and the complicated characteristics of RS image data. 4) Interactive RS image retrieval [27], [28], [29]: Experts in the image processing community employ active learning (AL) methods to iteratively boost the retrieval performance by taking the user's feedback into account [30]. AL leverages an expert oracle to label the most informative samples from the unlabeled archive.…”
mentioning
confidence: 99%