# PolSF: PolSAR image dataset on San Francisco

arXiv: https://arxiv.org/abs/1912.07259 · HTML: https://mlsanity.com/paper/1912.07259/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Dec 2019.

## Built on by (most cited first, 8 of 8)

- [Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection](https://mlsanity.com/paper/2202.06513/) (2022)
- [Estimating Appearance Models for Image Segmentation via Tensor Factorization](https://mlsanity.com/paper/2208.07853/) (2022)
- [SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification](https://mlsanity.com/paper/2402.17672/) (2024)
- [ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification](https://mlsanity.com/paper/2506.01040/) (2025)
- [Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network](https://mlsanity.com/paper/2507.03315/) (2025)
- [Shift-Equivariant Complex-Valued Convolutional Neural Networks](https://mlsanity.com/paper/2511.21250/) (2025)
- [DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification](https://mlsanity.com/paper/2604.18853/) (2026)
- [PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)](https://mlsanity.com/paper/2605.31137/) (2026)

## Abstract (arXiv)

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.