Dot and Segment Feature Analysis and Parameter Inversion of a Curved and Graded Bay Bridge From UAVSAR Imagery
Dot and Segment Feature Analysis and Parameter Inversion of a Curved and Graded Bay Bridge From UAVSAR Imagery
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UAVSAR 图像对弯曲渐变海湾大桥的点和段特征分析及参数反演
DOI：
10.1109/jstars.2019.2895467
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发表时间：
2019-03
影响因子：
5.5
通讯作者：
Taoli Yang
中科院分区：
文献类型：
--
作者：
Xiaojian Gan;Yong Wang;Dingfeng Duan;Taoli Yang
当NASA/JPL UAVSAR对美国加利福尼亚州圣地亚哥湾上的弯曲和渐变的科罗纳多大桥进行成像时，它在L波段图像上显示为三个独立的特征，包括点、短弯曲段和连续弯曲段。再加上在相反的看向桥梁的方向上获得的图像，我们分析了功能，归因于无法识别的直接表面后向散射从桥梁巷道的原因，并评估了与功能的方位角的影响。一个两步的过程，然后阐述了解决方位角的四极SAR图像的分解定向人造物体和树木存在的影响。其次，开发了一种利用单极化数据估计曲线和渐变桥梁高度和宽度的算法。参考激光雷达导出的高度和恒定的桥宽，我们使用26个样本的差值来评估该算法。得到了两个UAVSAR数据集的L-HH和L-VV结果。桥梁高度或宽度的总体平均值和一个标准差值分别≤3.7 m和≤2.8 m。这些值小于SAR数据集的方位和地距分辨率（5 m × 5 m）。因此，估计的桥梁高度和宽度应该是可以接受的。最后，我们研究了该算法对不同数据采集模式的ALOS/PALSAR数据集的适用性。
When NASA/JPL UAVSAR imaged the curved and graded Coronado Bridge over San Diego Bay, CA, USA, it was shown as three separate features consisting of dots, short curved segments, and a continuously curved segment on the L-band images. Coupled with the images acquired in the opposite look directions toward the bridge, we analyzed the features, attributed the cause for the unidentifiable direct surface backscatter from the bridge roadway, and assessed the azimuth angle effects linked to the features. A two-step procedure was then articulated to resolve the azimuth angle effect on the decomposition of the quad-pol SAR imagery where orientated man-made objects and trees existed. Next, an algorithm using the single polarization data to estimate the curved and graded bridge height and width was developed. With reference to the Lidar-derived heights and the constant bridge width, we evaluated the algorithm using the difference values of 26 samples. L-HH and L-VV results of two UAVSAR datasets were obtained. Of the bridge height or width, the overall mean and one standard deviation values of the differences were ≤3.7 m and ≤2.8 m, respectively. The values were smaller than the azimuth and ground-range resolutions (5 m × 5 m) of the SAR datasets. Thus, the estimated bridge height and width should be acceptable. Finally, we studied the applicability of the algorithm to ALOS/PALSAR datasets of different data acquisition modes.
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DOI：
10.1109/igarss.2015.7326959
发表时间：
2015-07
期刊：
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
影响因子：
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作者：
Yong F. Wang;Ao Du;Hong Li;Yuanyuan Yang
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影响因子：
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作者：
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影响因子：
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Sang‐Hoon Hong;S. Wdowinski
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影响因子：
1.4
作者：
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Genwang Liu;Jie Zhang;Xi Zhang;J. Meng;Guoyu Wang
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影响因子：
3.4
作者：
Wang, Changcheng;Wang, Yong;Liao, Mingsheng
通讯作者：
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