Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval

no code implementations • 23 Jul 2018 • Weixun Zhou, Xueqing Deng, Zhenfeng Shao

In our approach, we first train a FCN model using a pixel-wise labeled dataset, and the trained FCN is then used to predict the segmentation maps of each image in the considered archive.

Image Retrieval Retrieval +1

PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval

no code implementations • 11 Jun 2017 • Weixun Zhou, Shawn Newsam, Congmin Li, Zhenfeng Shao

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.

Image Retrieval Land Cover Classification +1

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

no code implementations • 10 Oct 2016 • Weixun Zhou, Shawn Newsam, Congmin Li, Zhenfeng Shao

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).

Image Retrieval Retrieval