Jan 18, 2022 · A novel detection method named a spatial information integration network (SII-Net) is proposed in this paper.

Abstract: Ship detection based on synthetic aperture radar (SAR) images has made a breakthrough in recent years. However, small ships, which may be regarded ...

SII-Net: Spatial Information Integration Network for Small Target Detection in SAR Images by Nan Su, et al. ➡️ https://t.co/MWx50fbIQS.

The public datasets LS-SSDD-v1.0, SSDD and SAR-Ship-Dataset are used to conduct ship detection tests. Extensive experiments show that the SII-Net outperforms ...

Feb 13, 2024 · This research presents YOLOv7-LDS, a lightweight yet highly accurate SAR ship detection model built upon the YOLOv7 framework.

SII-Net: Spatial information integration network for small target detection in SAR images. ... Sa-net: Shuffle attention for deep convolutional neural networks.

The pretraining technique is usually adopted to support deep neural networks-based SAR ship detectors due to the scarce labeled SAR images. However, directly ...

A ship target detection method in spaceborne SAR imagery, using a hierarchical convolutional neural network (H-CNN), which can outperform the conventional ...

Jul 6, 2024 · SII-Net: Spatial Information Integration Network for Small Target Detection in SAR Images by Nan Su, et al. ➡️ https://brnw.ch/21wL9EN.

SII-Net: Spatial Information Integration Network for Small Target Detection in SAR Images. Remote Sens. 2022, 14, 442. [Google Scholar] [CrossRef]; Liu, S ...