OPDNet: An Offshore Platform Detection Network Based on Bitemporal Bimodal Remote-Sensing Images and a Pseudo-Siamese Structure

OPDNet: An Offshore Platform Detection Network Based on Bitemporal Bimodal Remote-Sensing Images and a Pseudo-Siamese Structure

In medium-resolution remote-sensing images, offshore platforms are easily confused with other offshore objects, such as ships and offshore wind power equipment. In this study, an object detection network named OPDNet, which is based on a two-branch pseudo-Siamese structure, is proposed to accurately...

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Bibliographic Details
Main Authors: Xin Zhang, Mulan Qiu, Shikang Tao, Xuesheng Ge, Min Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Multimodal
multitemporal
object detection
offshore platforms
pseudo-Siamese structure
Online Access:https://ieeexplore.ieee.org/document/10878271/
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Summary:In medium-resolution remote-sensing images, offshore platforms are easily confused with other offshore objects, such as ships and offshore wind power equipment. In this study, an object detection network named OPDNet, which is based on a two-branch pseudo-Siamese structure, is proposed to accurately position and extract offshore platforms. OPDNet utilizes paired yet unsynchronized optical and radar images derived from the Sentinel 1 and 2 satellites as its inputs, leveraging the complementary nature of bitemporal and multimodal image data to compensate for the limitations inherent in single-modal images. On this basis, the feature extraction and classification capabilities of the network are improved for small objects by fusing a C2f feature pyramid integrated with the CloAttention module, context attention module, and space&#x2013;depth convolution modules. Experiments show that OPDNet yields significant object detection accuracy improvements over the comparative unimodal single-phase and unimodal multiphase methods, with an average precision value of 94.60&#x0025; and an <italic>F</italic>1-score of 87.83&#x0025;. Thus, OPDNet provides a powerful solution for large-scale remote-sensing-based offshore platform monitoring.
ISSN:1939-1404
2151-1535

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