R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable Proposals

R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable Proposals

Weintroduce R-Sparse R-CNN, a novel pipeline for oriented ship detection in Synthetic Aperture Radar (SAR) images that leverages sparse learnable proposals enriched with background contextual information, termed background-aware proposals (BAPs). The adoption of sparse proposals streamlines the pipe...

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Bibliographic Details
Main Authors: Kamirul Kamirul, Odysseas A. Pappas, Alin M. Achim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Background-aware proposals
convolutional neural networks
deep learning
sparse learnable proposals
synthetic aperture radar
oriented ship detection
Online Access:https://ieeexplore.ieee.org/document/11027781/
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https://ieeexplore.ieee.org/document/11027781/

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