Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers
In this article a new method is introduced for the automatic estimation of all the relevant parameters of oil storage tanks using a single high-resolution synthetic aperture radar (SAR) image. For a given storage tank, this method will estimate its maximum capacity and determine whether it has a fix...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9437809/ |
| _version_ | 1818666625514078208 |
|---|---|
| author | Carlos Villamil Lopez Uwe Stilla |
| author_facet | Carlos Villamil Lopez Uwe Stilla |
| author_sort | Carlos Villamil Lopez |
| collection | DOAJ |
| description | In this article a new method is introduced for the automatic estimation of all the relevant parameters of oil storage tanks using a single high-resolution synthetic aperture radar (SAR) image. For a given storage tank, this method will estimate its maximum capacity and determine whether it has a fixed or a floating roof. For tanks with a floating roof, the amount of oil stored will also be estimated. If a SAR time series is available all the images can be processed jointly, exploiting the available temporal information to provide more accurate and robust estimates than those obtained from each individual image. The dimensions of each storage tank are derived from its semicircular double reflections, which are detected using the coherent scatterers in the SAR image. The classification between tanks with fixed and floating roofs is performed with a simple machine learning classifier using just three features related to the detected semicircular double reflections. The performance of the proposed method using a single image and a time series is evaluated with three TerraSAR-X images of the port of Rotterdam, containing 167 oil storage tanks of different sizes, and with both fixed and floating roofs. |
| first_indexed | 2024-12-17T06:07:30Z |
| format | Article |
| id | doaj.art-4587f06a480a4024ae0f68c672260546 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-17T06:07:30Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-4587f06a480a4024ae0f68c6722605462022-12-21T22:00:44ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01145638565510.1109/JSTARS.2021.30821819437809Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent ScatterersCarlos Villamil Lopez0https://orcid.org/0000-0002-6867-7689Uwe Stilla1https://orcid.org/0000-0002-1184-0924German Aerospace Center (DLR), Microwaves and Radar Institute, Wessling, GermanyDepartment of Photogrammetry and Remote Sensing, Technical University of Munich, Munich, GermanyIn this article a new method is introduced for the automatic estimation of all the relevant parameters of oil storage tanks using a single high-resolution synthetic aperture radar (SAR) image. For a given storage tank, this method will estimate its maximum capacity and determine whether it has a fixed or a floating roof. For tanks with a floating roof, the amount of oil stored will also be estimated. If a SAR time series is available all the images can be processed jointly, exploiting the available temporal information to provide more accurate and robust estimates than those obtained from each individual image. The dimensions of each storage tank are derived from its semicircular double reflections, which are detected using the coherent scatterers in the SAR image. The classification between tanks with fixed and floating roofs is performed with a simple machine learning classifier using just three features related to the detected semicircular double reflections. The performance of the proposed method using a single image and a time series is evaluated with three TerraSAR-X images of the port of Rotterdam, containing 167 oil storage tanks of different sizes, and with both fixed and floating roofs.https://ieeexplore.ieee.org/document/9437809/Oil storage monitoringsynthetic aperture radar (SAR)time series |
| spellingShingle | Carlos Villamil Lopez Uwe Stilla Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Oil storage monitoring synthetic aperture radar (SAR) time series |
| title | Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers |
| title_full | Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers |
| title_fullStr | Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers |
| title_full_unstemmed | Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers |
| title_short | Monitoring of Oil Tank Filling With Spaceborne SAR Using Coherent Scatterers |
| title_sort | monitoring of oil tank filling with spaceborne sar using coherent scatterers |
| topic | Oil storage monitoring synthetic aperture radar (SAR) time series |
| url | https://ieeexplore.ieee.org/document/9437809/ |
| work_keys_str_mv | AT carlosvillamillopez monitoringofoiltankfillingwithspacebornesarusingcoherentscatterers AT uwestilla monitoringofoiltankfillingwithspacebornesarusingcoherentscatterers |