一种在长时间序列SAR影像上提取稳定目标点的多级探测法
A Multi-Step Detection Method for Extraction of Stable Pointwise Target in Long Temporal SAR Image Series
- 2008年第4期 页码:561-567
纸质出版日期: 2008
DOI: 10.11834/jrs.20080474
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纸质出版日期: 2008 ,
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[1]卢丽君,廖明生,王腾,田馨.一种在长时间序列SAR影像上提取稳定目标点的多级探测法[J].遥感学报,2008(04):561-567.
LU Li-jun, LIAO Ming-sheng, WANG Teng, et al. A Multi-Step Detection Method for Extraction of Stable Pointwise Target in Long Temporal SAR Image Series[J]. Journal of Remote Sensing, 2008,(4):561-567.
基于长时间序列上的差分雷达地表形变检测技术是近年来形变监测领域中一项重要的关键技术
而在长时间序列上稳定目标点的准确提取则是其中的一项重要环节
在此本文提出了一个有效的提取稳定目标点的多级探测方法。该方法以传统的振幅探测法为基础提取稳定目标点
同时针对振幅探测中稳定目标点的分布密度低、不均匀等问题
建立时间相干性计算模型
并利用目标点时间相干信息提取更多满足要求的稳定点目标。本文选用上海地区的26幅ERS-1/2 C波段SAR图像(1992—2000年获取)进行了目标点的提取实验
证实了该方法的有效性和可靠性。
Spaceborne differential interferometric Synthetic Aperture Radar technology(D-InSAR) in long temporal series is an important technology in the land subsidence measurement
extraction of stable pointwise target is a critical procedure in long temporal D-InSAR processing chain.As we know
now the main two kinds of method have been proposed.One is amplitude method that can be performed to model the similar behaviors with phase dispersion with no resolution loss by means of a time series analysis of amplitude data.The other is based on coherence stability that can be computed in the stack of interferograms.The two methods have their own defects
the former requires a minimum of 30 images to detect the stable pointwise target precisely
the latter will directly lead to lower resolution than the original images.In this paper we introduce an optimized extraction method of stable pointwise target combining amplitude and coherence analysis.In this paper
amplitude detection method is first implemented and the number of stable pointwise targets is extracted.In the step
the data need to be radiometrically calibrated in order to ensure the images to be comparable.And the experiential threshold of amplitude dispersion is selected to extract stable pointwise targets.Aiming at solving problems of low density and ununiformity distribution of pointwise targets extracted by amplitude detection
a multi-step detection method is proposed.The multi-step detection method first uses amplitude detection
the proper threshold is selected to extract candidates of stable pointwise targets
which can ensure most of stable pointwise targets are included and greatly improve computation efficiency by the threshold.Further temporal coherence is utilized to extract the precise pointwise targets.In the step
the model of temporal coherence is established
and the partial atmosphere disturb and orbit error are removed by lowpass filters
sequentially the phase caused by the DEM error is estimated by a rough search of parameter space
the average effective phase are separated in interferogram stack.As the temporal coherence coefficient is proportional to the number of interferograms
the proper threshold is chosen in terms of the proportional relationship.Lastly
pointwise targets of their pixel value larger than the referred threshold are extracted.With the multi-step detection method
more reliable stable pointwise targets are extracted.The evaluation of the method is finally carried out with 26 ERS-1/2 C-band SAR images acquired over Shanghai urban covering 94 km2 from 1992 to 2000.Amplitude detection method and multi-step detection method are implemented at the same region respectively.The effectiveness of two methods is evaluated by the number and density of extracted pointwise targets.By comparison
pointwise targets of extracted by amplitude detection have the lower density than multi-step detection method.And reliability is evaluated by testing the target corresponding to the land type.It is known that stable pointwise targets points corresponding to the stable man-made objects in the urban.After the ground investigation in shanghai urban
we find the most of extracted points are usually corresponding to stable man-made objects
e.g.building and bridge.It fully validates the reliability of multi-step detection method.In summary
the testing results show that the presented method can extract stable pointwise targets effectively and reliably.
长时间序列目标点提取振幅探测多级探测时间相干性
long temporal seriespointwise target extractionamplitude detectionmulti-step detectiontemporal coherence
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