S-CNN-BASED SHIP DETECTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGES

13 citations as recorded by crossref.

1. Oriented Ship Detector for Remote Sensing Imagery Based on Pairwise Branch Detection Head and SAR Feature Enhancement B. He et al. 10.3390/rs14092177
2. Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images U. Alganci et al. 10.3390/rs12030458
3. Dynamic Tracking Matched Filter with Adaptive Feedback Recurrent Neural Network for Accurate and Stable Ship Extraction in UAV Remote Sensing Images D. Fu et al. 10.3390/rs16122203
4. Improved YOLOv3 Based on Attention Mechanism for Fast and Accurate Ship Detection in Optical Remote Sensing Images L. Chen et al. 10.3390/rs13040660
5. Ship detection and identification in SDGSAT-1 glimmer images based on the glimmer YOLO model W. Song et al. 10.1080/17538947.2023.2277796
6. Impact of COVID-19 Lockdown on the Fisheries Sector: A Case Study from Three Harbors in Western India R. Avtar et al. 10.3390/rs13020183
7. Ship Object Detection of Remote Sensing Image Based on Visual Attention Y. Dong et al. 10.3390/rs13163192
8. An approximate system for evaluating real-time port operations based on remote sensing images Y. Ping et al. 10.1080/2150704X.2020.1820612
9. Review on deep learning techniques for marine object recognition: Architectures and algorithms N. Wang et al. 10.1016/j.conengprac.2020.104458
10. Single Image Defogging using Deep Learning Techniques: Past, Present and Future N. Sharma et al. 10.1007/s11831-021-09541-6
11. Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network X. Yang et al. 10.1109/ACCESS.2018.2869884
12. A Novel Coarse-to-Fine Method of Ship Detection in Optical Remote Sensing Images Based on a Deep Residual Dense Network L. Chen et al. 10.3390/rs12193115
13. Satellite imagery-based Airbus ship localization and detection using deep learning-based approaches J. Chadha et al. 10.1007/s12083-023-01493-x