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Ocean Surface Pollution Detection: Applicability Analysis of V-Net with Data Augmentation for Oil Spill and Other Related Ocean Surface Feature Monitoring

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Communication and Intelligent Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 461))

Abstract

Oil spills are considered to be one of the biggest obstacles to marine and coastal environments. Effective surveillance, ship detection, and accurate oil spill detection are crucial for the relevant agencies to respond adequately and minimize environmental emissions and avoid further disruption. Satellites deployed for capturing the data have led to the ingestion of huge amounts of remote sensing data to systems but to analyze that data via human effort is a tedious and extensive task. Hence, modern literature suggests the use of machine learning in paradigms such as image segmentation, image recognition, object detection as a substitute for traditional techniques. This research applies the contemporary deep Learning methods over the dataset available from the European Space Agency (ESA). The paper proposes the use of the volumetric convolution net (V-Net) architecture in addition to image augmentation methods like horizontal flipping, vertical flipping, and image rotation. The proposed computational pipeline resulted in a net Mean IOU of 88.29 and an accuracy of 90.65%.

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Author information

Authors and Affiliations

  1. Institute of Technology, Nirma University, Ahmedabad, India

    Naishadh Mehta, Pooja Shah, Pranshav Gajjar & Vijay Ukani

Authors
  1. Naishadh Mehta
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  2. Pooja Shah
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  3. Pranshav Gajjar
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  4. Vijay Ukani
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Corresponding author

Correspondence to Naishadh Mehta .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Harish Sharma

  2. Institutional Area Narela Delhi, National Institute of Technology Delhi, New Delhi, India

    Vivek Shrivastava

  3. Design and Manufacturing, Indian Institute of Information Technology, Jabalpur, India

    Kusum Kumari Bharti

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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Mehta, N., Shah, P., Gajjar, P., Ukani, V. (2022). Ocean Surface Pollution Detection: Applicability Analysis of V-Net with Data Augmentation for Oil Spill and Other Related Ocean Surface Feature Monitoring. In: Sharma, H., Shrivastava, V., Kumari Bharti, K., Wang, L. (eds) Communication and Intelligent Systems . Lecture Notes in Networks and Systems, vol 461. Springer, Singapore. https://doi.org/10.1007/978-981-19-2130-8_2

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