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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Ship Detection From PolSAR Imagery Using the Hybrid Polarimetric Covariance Matrix
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Ship Detection From PolSAR Imagery Using the Hybrid Polarimetric Covariance Matrix

机译:使用混合偏振协方差矩阵从Polsar图像船舶检测

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In this letter, we first investigate the relationship between polarimetric covariance matrix [C] and complete polarimetric covariance difference matrix [CP], and then construct a scattering difference parameter SDP. Subsequently, a hybrid polarimetric covariance matrix [HC] is developed based on SDP for curing the disadvantage of [CP], that is the scattering difference information of small ships cannot be well contained in [CP]. By fusing the feature "1-SDP" and the power detector SPAN(HC) derived from [HC] together, a novel ship detection method SPAN(SDP) is finally proposed to detect ships. Experiments performed on the airborne SAR (AIRSAR) L-Band and GF-3 C-Band data verify that 1) SPAN(SDP) can detect small ships more accurately than other state-of-the-art methods and 2) [HC] is more effective in improving ship detectors' detection performances in comparison with [CP].
机译:在这封信中,首先研究偏振协方差矩阵[C]和完整偏振协方差差矩阵[CP]之间的关系,然后构造散射差参数SDP。 随后,基于SDP开发混合偏振协方差矩阵矩阵[HC],用于固化[CP]的缺点,即小船的散射差信息不能很好地包含在[CP]中。 通过将特征“1-SDP”和源自[HC]的功率检测器跨度(HC)融合在一起,最终提出了一种新颖的船舶检测方法跨度(SDP)来检测船舶。 在机载SAR(AIRSAR)L波段和GF-3 C波段数据上进行的实验验证了1)跨度(SDP)可以比其他最先进的方法更准确地检测小船,2)[HC] 与[CP]相比,在改善船舶检测器的检测性能方面更有效。

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