使用随机距离的CBIR-SAR系统
Alcilene Dalília Sousa1,2, Pedro Henrique Dos Santos Silva3, Romuere Rodrigues Veloso Silva1
1Informatics Systems, Federal University of Piaui, Picos 64607-825, Piaui, Brazil.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
本研究介绍了一种新的基于内容的图像检索 (CBIR) 系统,用于合成孔径雷达 (SAR) 图像. 该系统利用随机距离,并根据估计的纹理参数准确识别图像区域.
科学领域:
- 遥感 遥感 遥感 遥感
- 图像处理 图像处理
- 地质物理学 地质物理学
背景情况:
- 合成孔径雷达 (SAR) 图像对于地球观测至关重要.
- 基于内容的图像检索 (CBIR) 系统需要强大的特征提取和相似性测量.
- 现有的SAR图像检索方法可能无法完全捕捉纹理细微差别.
研究的目的:
- 开发和评估使用随机距离的SAR图像的新型CBIR系统.
- 使用GI0分布准确建模SAR数据强度并估计其参数.
- 在不同的SAR传感器中使用平均平均精度 (MAP) 评估检索性能.
主要方法:
- 估计GI0分布的粗度 (α^) 和尺度 (γ^) 参数,使用最大概率估计和Log-Cumulants.
- 使用三角形随机距离来测量查询和数据库SAR图像之间的相似性.
- 在UAVSAR,OrbiSaR-2和ALOS PALSAR传感器的合成和真实SAR数据上以平均平均精度 (MAP) 评估性能.
主要成果:
- 拟议的CBIR-SAR系统实现了高的MAP值,在所有极化通道中超过0.833的真实SAR图像.
- 该系统在检索合成图像中的异质区域方面表现出有效性.
- 结果证实了该方法对纹理的敏感性,依赖于准确的参数估计.
结论:
- 开发的基于随机距离的CBIR系统为SAR图像提供了有效的检索.
- 准确估计GI0分布参数对于成功的图像检索至关重要.
- 该方法在使用SAR数据分析森林和城市地区的应用方面表现有前途.
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