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Smart Ship Draft Reading by Dual-Flow Deep Learning Architecture and Multispectral Information.

Bo Zhang¹, Jiangyun Li^2,3, Haicheng Tang^2,3

¹China Coal Research Institute Corporation, Beijing 100013, China.

Sensors (Basel, Switzerland)

|September 14, 2024

Summary

This study introduces a novel method for automatic ship draft reading using multispectral imaging, integrating Near-Infrared (NIR) and RGB data. The approach enhances accuracy and reliability in maritime bulk cargo weighing.

Keywords:

computer vision dual-flow architecture multispectral image ship draft reading

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Area of Science:

Maritime Logistics
Computer Vision
Remote Sensing

Background:

Ship draft surveys are crucial for accurate bulk cargo weighing in maritime trade.
Current visual draft reading methods suffer from safety, cost, and accuracy limitations.
Existing image processing techniques struggle with water surface interference like reflections.

Purpose of the Study:

To develop an accurate and reliable automatic ship draft reading system.
To overcome the limitations of RGB-based image processing in maritime environments.
To introduce a novel approach integrating Near-Infrared (NIR) and RGB data for draft reading.

Main Methods:

A dataset of 524 annotated multispectral images (RGB and NIR) was created.
A dual-branch backbone network (BIF) was proposed to extract and fuse spectral information.
The BIF backbone was integrated with YOLOv8 for draft detection and UPerNet for waterline segmentation.

Main Results:

Draft detection achieved a mean Average Precision (mAP) of 99.2% using YOLOv8 with the BIF backbone.
Waterline segmentation mIoU improved from 98.9% to 99.3% when using UPerNet with the BIF backbone.
The method demonstrated a draft reading inaccuracy of less than ±0.01 m.

Conclusions:

Integrating NIR and RGB data significantly improves automatic draft reading accuracy.
The proposed BIF dual-branch backbone effectively extracts and combines multispectral information.
This method offers a robust solution for accurate and automated ship draft surveys in maritime transportation.