IVCVDec 16, 2019

PolSF: PolSAR image dataset on San Francisco

arXiv:1912.07259v154 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This provides a new annotated dataset for researchers in remote sensing and image analysis, but it is incremental as it focuses on data collection rather than methodological innovation.

The authors tackled the problem of limited annotated polarimetric SAR data by collecting and annotating five open images of the San Francisco area at the pixel level for classification and segmentation, and made the dataset publicly available.

Polarimetric SAR data has the characteristics of all-weather, all-time and so on, which is widely used in many fields. However, the data of annotation is relatively small, which is not conducive to our research. In this paper, we have collected five open polarimetric SAR images, which are images of the San Francisco area. These five images come from different satellites at different times, which has great scientific research value. We annotate the collected images at the pixel level for image classification and segmentation. For the convenience of researchers, the annotated data is open source https://github.com/liuxuvip/PolSF.

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