YOLO-OSD: Optimized ship detection and localization in multiresolution SAR satellite images using a hybrid data-model centric approach
MF Humayun, FA Nasir, FA Bhatti… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
With the advancements in space technology and the development of lightweight synthetic
aperture radar (SAR) satellites by commercial companies, such as ICEYE, Capella Space …
aperture radar (SAR) satellites by commercial companies, such as ICEYE, Capella Space …
Modeling and theoretical exploration of free surface manifestation of submarines in presence and absence of ocean waves
S Arivazhagan, MMRT Selvi, K Anilkumar… - Ocean …, 2024 - Elsevier
Maritime surveillance using remote-sensing images is one of the emerging technologies.
Because of the inaccessibility of real-time remote-sensing images, it is imperative to model …
Because of the inaccessibility of real-time remote-sensing images, it is imperative to model …
BACA: Superpixel segmentation with boundary awareness and content adaptation
N Liao, B Guo, C Li, H Liu, C Zhang - Remote Sensing, 2022 - mdpi.com
Superpixels could aggregate pixels with similar properties, thus reducing the number of
image primitives for subsequent advanced computer vision tasks. Nevertheless, existing …
image primitives for subsequent advanced computer vision tasks. Nevertheless, existing …
CSEF-Net: Cross-Scale SAR Ship Detection Network Based on Efficient Receptive Field and Enhanced Hierarchical Fusion
H Zhang, Y Wu - Remote Sensing, 2024 - mdpi.com
Ship detection using synthetic aperture radar (SAR) images is widely applied to marine
monitoring, ship identification, and other intelligent maritime applications. It also improves …
monitoring, ship identification, and other intelligent maritime applications. It also improves …
SSMA-YOLO: A Lightweight YOLO Model with Enhanced Feature Extraction and Fusion Capabilities for Drone-Aerial Ship Image Detection
Y Han, J Guo, H Yang, R Guan, T Zhang - Drones, 2024 - mdpi.com
Due to the unique distance and angles involved in satellite remote sensing, ships appear
with a small pixel area in images, leading to insufficient feature representation. This results …
with a small pixel area in images, leading to insufficient feature representation. This results …
[PDF][PDF] Size invariant ship detection from SAR images using YOLO-v3 and mask-RCNN
U Inamdar, P Kakade, A Kale, R Jagtap… - Int. Res. J. Eng …, 2020 - academia.edu
Synthetic Aperture Radar (SAR) imagery has been used as a knowledge source for
monitoring maritime activities, and its application for ship detection has been the main target …
monitoring maritime activities, and its application for ship detection has been the main target …
[PDF][PDF] Towards a Reliable and Sensitive Deep Learning Based Approach for Multi-Ship Detection in SAR Imagery
MA Elshafey - International Journal of Geoinformatics, 2021 - journals.sfu.ca
Abstract Synthetic Aperture Radar (SAR) images show promising results in monitoring
maritime activities. Recently, Deep learning-based object detection techniques have …
maritime activities. Recently, Deep learning-based object detection techniques have …
Feature extraction, labelling, and object feature map
CD Rhodes, JR Goulding, CM Pilcher… - US Patent App. 17 …, 2023 - Google Patents
2021-12-07 Assigned to RAYTHEON COMPANY reassignment RAYTHEON COMPANY
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …