| 摘要: |
| 极化目标分解及其在人造目标提取方面的应用是极化合成孔径雷达（Polarimetric Synthetic Aperture Radar，PolSAR）图像处理的重要课题。然而，传统极化目标分解在定向建筑区域易出现体散射成分估计偏高，从而影响后续建筑目标提取效果。针对该问题，本文提出一种重轨极化干涉合成孔径雷达（Polarimetric Interferometric Synthetic Aperture Radar，PolInSAR）无模糊目标分解方法，并用于建筑目标提取。首先分析重轨PolInSAR相干性的散射去模糊能力及其物理意义；随后基于相干性构建城市描述子并引入目标分解模型，实现无模糊的极化干涉SAR目标分解；最后将分解结果与多种建筑提取方法结合，以提升原有算法性能并验证方法有效性。采用E-SAR、UAVSAR和GF-3三组极化干涉数据开展对比实验。结果表明，与传统极化目标分解方法相比，所提方法获得的散射特征更准确，用于复杂场景建筑提取时虚警与漏检更少。 |
| 关键词: 极化干涉合成孔径雷达 极化干涉相干性 目标分解 建筑提取 |
| DOI： |
| 分类号:TN958 |
| 基金项目:黑龙江省博士后基金 |
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| Unambiguous Target Decomposition and Building Target Extraction in Repeat-Pass Polarimetric Interferometric SAR |
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| Abstract: |
| Polarimetric target decomposition and its application to man-made target extraction constitute an important topic in Polarimetric Synthetic Aperture Radar (PolSAR) image processing. However, conventional polarimetric decomposition tends to overestimate the volume-scattering component in oriented built-up areas, thereby degrading subsequent building extraction performance. To address this issue, an unambiguous target decomposition method for repeat-pass Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) is proposed and is applied to building extraction. First, the ambiguity-suppression capability of repeat-pass PolInSAR coherence is analyzed and its physical interpretation is discussed. Then, an urban descriptor is constructed based on coherence and is incorporated into a target decomposition model, by which unambiguous polarimetric–interferometric SAR target decomposition is achieved. Finally, the decomposition results are integrated with multiple building extraction schemes, so that the performance of existing algorithms is improved and the effectiveness of the proposed method is validated. Comparative experiments are conducted on three PolInSAR datasets, including E-SAR, UAVSAR, and GF-3. The results demonstrate that, compared with conventional polarimetric decomposition methods, more accurate scattering features are obtained by the proposed method; when applied to building extraction in complex scenes, fewer false alarms and missed detections are produced. |
| Key words: Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) PolInSAR Coherence Target decomposition Building Extraction |