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Deep learning model to detect oil tanks in high-resolution satellite imagery. A brief summary of the item is not available. Add a brief summary about the item.

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Item created: Nov 15, 2023 Item updated: Jan 1, 2025 Number of downloads: 970

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Description

Oil tank detection holds immense significance in the oil and gas industry, revolutionizing the way we monitor and manage critical infrastructure. Deep learning allows rapid and accurate identification of oil storage tanks from various image sources such as high-resolution satellite imagery. This enables proactive maintenance, leak prevention, and emergency response. The ability to automatically detect and locate these tanks in real-time enhances operational efficiency, safety, and environmental stewardship. It also reduces the risk of accidents, ensures regulatory compliance, and ultimately contributes to the sustainable and responsible management of valuable energy resources. Use this deep learning model to automate the task of detecting oil storage tanks in high-resolution satellite imagery.

Using the model
Follow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.

Fine-tuning the model
This model can be fine-tuned using the Train Deep Learning Model tool. Follow the guide to fine-tune this model.

Input
8-bit, 3-band high resolution (30 centimeters) imagery. 

Output
A raster layer representing detected oil tanks. 

Applicable geographies
The model is expected to work well in the United States.

Model architecture
This model uses the MMDetection based Dynamic-RCNN model architecture implemented in ArcGIS API for Python.

Accuracy metrics
This model has an average precision score of 0.85.

Training data
This model has been trained on an Esri proprietary oil tank detection dataset.

Limitations
The model does not work well in detecting  very small sized or cluster tanks.

Sample results
Here are a few results from the model.



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https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png This work is licensed under the Esri Master License Agreement.

No special restrictions or limitations on using the item's content have been provided.

Comments (2)

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Saranya6 Item Owner commented a year ago Delete Reply

Hi, which is the dataset the model is trained on?

spathak_deldev Item Owner commented a year ago Delete

Hi, the model is trained on a self labeled data.

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          ID: c7996c42f2b94a1baafddf518fca3dcd

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          dlpk, pretrained model, LivingAtlasDLPK, Oil Tank

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