Real data collected by an airborne spotlight SAR system is applied to demonstrate the effectiveness of the proposed method.

Sentinel-1 dataset used for SAR despeckling experiments

Real SAR images with background. The real-measured dataset is MSTAR with SAR images of ground stationary targets released by the MSTAR program supported by the Defense Advanced...

Real SAR images with suppressed background. The real-measured dataset is MSTAR with SAR images of ground stationary targets released by the MSTAR program supported by the...

Synthetic aperture radar (SAR) images of a ship are simulated in this experiment. The radar operating frequency f0 = 157GHz, Tr = 93.75µs, with 28 pulses and 28 range cells...

A self-built SAR aircraft sliced dataset and a large scene SAR image are collected for investigating the detection performance of our method in the experiments.

The SARFish dataset and challenge is designed to further enhance and benchmark the performance of SAR-based maritime surveillance systems.

The xView3 dataset comprises Synthetic Aperture Radar (SAR) satellite views and relevant data for marine object detection and classification tasks.

The ship discrimination dataset contains SAR images of ships and non-ships

The MSTAR dataset contains SAR images of ten classes of ground vehicles

The proposed GNN model for SAR automatic target recognition

SSDD dataset contains 1160 images of resolution from 1m to 15m in total, where the training set includes 928 images and the test set includes the remaining 232 images.

SAR remote sensing images are much less viewed and used by general people because human vision is not adapted to microwave scattering phenomenon.

SAR ship detection dataset (SSDD) is used for training and testing the proposed SAR ship detection method based on Swin Transformer and Feature Enhancement Feature Pyramid...