Journal Article10.1016/j.isprsjprs.2022.10.016
Structural projection points estimation and context priors for oil tank storage estimation in SAR image
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TL;DR: Wang et al. as mentioned in this paper modeled the structural projection points description operator to estimate the fine 3D structural parameters of oil tank and invert the storage information, and proposed the SAR image context prior to extract the 3D information of the oil tank targets.
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Abstract: 3D information extraction is a key direction in the development of Synthetic Aperture Radar (SAR) technology. Extracting the implicit 3D information in SAR image, such as the structure, texture, and occlusion relationship between the environment and the targets, is of significant and challenging for SAR image target interpretation, refined structure parameter extraction and 3D reconstruction. In this article, with a focus on the storage estimation of oil tank in SAR image, we modeled the structural projection points description operator to estimate the fine 3D structural parameters of oil tank and invert the storage information. We proposed the SAR image context prior to further extract the 3D information of the oil tank targets. In addition, by improving the separate offset regressor and adding different attention mechanisms in different branches, we better improved the estimation precision of the structural projection point of the oil tank target. We evaluated our model on the SAR image datasets from RADARSAT-2 with different observation conditions and resolutions, which demonstrates that our proposed model achieves the AP of 87.2% compared with 82.8% of baseline. Finally, we further discussed the effectiveness of the proposed method, as well as the future application prospect and promoting role in the field of SAR image 3D information extraction.
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Citations
Automatic Monitoring of Oil Tank 3D Geometry and Storage Changes with Interferometric Coherence and SAR Intensity Information
Ya-Lun S. Tsai,Chun-Jia Huang,Chia-Ling Chen,Jen-Yu Han +3 more
TL;DR: A novel three-stage strategy for automatic monitoring of oil tank 3D geometry and storage changes based on SAR intensity and interferometric coherence information. The approach effectively identifies dynamic oil tanks, estimates their fuel volume changes, and exhibits high accuracy and robustness.
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