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PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval
Current benchmark datasets are deficient in that 1) they were originally collected for land use/land cover classification and not image retrieval, 2) they are relatively small in terms of the number of classes as well the number of sample images per class, and 3) the retrieval performance has saturated.
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
In this paper, we investigate how to extract deep feature representations based on convolutional neural networks (CNN) for high-resolution remote sensing image retrieval (HRRSIR).
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