NST-YOLO11: ViT Merged Model with Neuron Attention for Arbitrary-Oriented Ship Detection in SAR Images

NST-YOLO11: ViT Merged Model with Neuron Attention for Arbitrary-Oriented Ship Detection in SAR Images

Due to the significant discrepancies in the distribution of ships in nearshore and offshore areas, the wide range of their size, and the randomness of target orientation in the sea, traditional detection models in the field of computer vision struggle to achieve performance in SAR image ship target...

Full description

Saved in:
Bibliographic Details
Main Authors: Yiyang Huang, Di Wang, Boxuan Wu, Daoxiang An
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
neural network
oriented detection
remote sensing
ship detection
synthetic aperture radar (SAR)
Online Access:https://www.mdpi.com/2072-4292/16/24/4760
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items