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Change detection for multi-polarization multi-pass SAR (Invited Paper)
2005
Algorithms for Synthetic Aperture Radar Imagery XII
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This paper develops a unified mathematical theory of change detection for the multi-polarization, multipass synthetic aperture radar (SAR) change detection problem. ...
PFA), quantifying the benefits of multipolarization, multi-pass SAR change detection. ...
change metric becomes: departures in the day-2 SAR image we use the normalized difference CD test with threshold, : change detection test in Equation 24 is equivalent to the ratio test: are summarized ...
doi:10.1117/12.609894
fatcat:ak625qifabhedesimtgk225hta
CFAR edge detector for polarimetric SAR images
2003
IEEE Transactions on Geoscience and Remote Sensing
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In this paper, a new edge detector for polarimetric SAR images is presented using a newly developed test statistic in the complex Wishart distribution to test for equality of covariance matrices. ...
By simply changing the parameters characterizing the test statistic according to the applied SAR data, constant false-alarm rate detection is always obtained. ...
ACKNOWLEDGMENT The authors wish to thank J. M. Carstensen (Informatics and Mathematical Modeling, Technical University of Denmark) for providing the source code for the Potts model [25] . ...
doi:10.1109/tgrs.2002.808063
fatcat:pqlys4m2zrdqvavsau4sqywiaq
A change detector for polarimetric SAR data based on the relaxed Wishart distribution
2015
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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In this paper, we present an unsupervised change detection method for polarimetric synthetic aperture radar (Pol-SAR) images based on the relaxed Wishart distribution. ...
Most polarimetric change detectors assume the Gaussian-based complex Wishart model for multilook covariance matrices, which is only satisfied for homogeneous areas with fully developed speckle and no texture ...
The seminal work on test statistics for change detection in multilook PolSAR images was done by Conradsen et al., who proposed a generalized likelihood ratio test (LRT) for equality of two complex covariance ...
doi:10.1109/igarss.2015.7326653
dblp:conf/igarss/AkbariADE15
fatcat:24kpqrvefra4vk2qh57j3queie
Combined intensity and coherent change detection for synthetic aperture radar
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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The second stage test uses an alternative coherence estimator that assumes equal population variances, to detect subtle changes such as tire tracks and footprints. ...
Experimental results are presented to show the effectiveness and robustness of the proposed algorithm for SAR change detection. ...
One application of SAR is change detection, which utilizes two SAR data collections of the same scene at different times to infer changes that have occurred in between data collections. ...
doi:10.1109/icassp.2014.6855183
dblp:conf/icassp/ChaPW14
fatcat:ja2iwusfvrbnfnirpwkbhckxsa
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging
[article]
2022
arXiv
pre-print
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Then, an adversarial autoencoder is trained to reconstruct an anomaly-free SAR image. Finally, a change detection processing step is applied between the input and the output to detect anomalies. ...
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. ...
One way to detect changes between two SAR images consists of testing the equality between the two estimated covariance matrices of the corresponding pixel under test for each pixel. ...
arXiv:2210.16038v1
fatcat:bfzg64tvlzgbjgubrfuzxwhaqa
Robust Low-rank Change Detection for Multivariate SAR Image Time Series
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Classical statistical change detection methodologies based on covariance matrix analysis are usually built upon the Gaussian assumption, as well as an unstructured signal model. ...
These two issues are tackled by proposing a new generalized likelihood ratio test based on a robust (compound Gaussian) low-rank (structured covariance matrix) model. ...
More specifically for SAR-ITS applications, various test statistics based on covariance matrix equality testing from Gaussian samples have been proposed within the statistical detection framework [6] ...
doi:10.1109/jstars.2020.2999615
fatcat:ersv4yifvbdlrip4mgpmf4ne3q
Robust Low-Rank Change Detection for Sar Image Time Series
2019
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Classical statistical change detection methodologies based on covariance matrix analysis are usually built upon the Gaussian assumption, as well as an unstructured signal model. ...
These two issues are tackled by proposing a new Generalized Likelihood Ratio Test based on a robust (compound Gaussian) low-rank (structured covariance matrix) model. ...
More specifically for SAR-ITS applications, various test statistics based on covariance matrix equality testing from Gaussian samples have been proposed within statistical detection framework [6] - [ ...
doi:10.1109/igarss.2019.8898744
dblp:conf/igarss/MianBGO19
fatcat:w7cs3r7vlbhp3dggzolccig6ia
Kronecker STAP and SAR GMTI
[article]
2016
arXiv
pre-print
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Other Versions
2016
Algorithms for Synthetic Aperture Radar Imagery XXIII
unpublished
doi:10.1117/12.2223896 fatcat:pnkr4q6h7zfkzh2lubnpvjgyza
doi:10.1117/12.2223896 fatcat:pnkr4q6h7zfkzh2lubnpvjgyza
Finally, we develop an extension of Kronecker STAP that uses information from multiple passes to improve moving target detection. ...
Space-time adaptive processing (STAP) is often used on multiantenna SAR to remove the stationary clutter and enhance the moving targets. ...
An extension to the case of moving target detection with multiple passes is presented in Section 3. ...
arXiv:1604.03622v1
fatcat:mq7dpjrl7rbvro6lsd7ll5a4de
Determining the Points of Change in Time Series of Polarimetric SAR Data
2016
IEEE Transactions on Geoscience and Remote Sensing
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We present the likelihood ratio test statistic for homogeneity of several complex variance-covariance matrices that may be used in order to assess whether at least one change has taken place in a time ...
The pixelwise analyses are applied on homogeneous subareas covered with different vegetation types using the distribution of the observed p-values. ...
A number of studies have applied SAR data to change detection applications in single-channel SAR images applying different methods using e.g. the classical ratio detection [1] , [2] , the Kittler-Illingworth ...
doi:10.1109/tgrs.2015.2510160
fatcat:bitfc4jpjvcszkl43mrhsdy644
A New Coherent Similarity Measure for Temporal Multichannel Scene Characterization
2012
IEEE Transactions on Geoscience and Remote Sensing
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This paper proposes a new method for a measure of coherent similarity between temporal multichannel synthetic aperture radar (SAR) images and its implementation to change detection application. ...
This derived quantity has been implemented for change detection application whose aim is to characterize the temporal behavior of the acquisitions. ...
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for the constructive discussions and suggestions to improve the quality of this paper. ...
doi:10.1109/tgrs.2011.2174155
fatcat:fqbsitnybzehnkevznti7aczcu
COHERENT CHANGE DETECTION FOR REPEATED-PASS INTERFEROMETRIC SAR IMAGES: AN APPLICATION TO EARTHQUAKE DAMAGE ASSESSMENT ON BUILDINGS
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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from optical imagery with the centimetric change detection sensitivity characterizing SAR. ...
This paper proposes an approach to enable pixel-wise earthquake damage assessments based on Coherent Change Detection methods applied to a stack of repeated-pass interferometric SAR images. ...
Being based on interferometry, change detection with SAR is sensible to centimetric variations and generally less biased than any techniques based on optical images classification, which usually requires ...
doi:10.5194/isprs-archives-xlii-3-w4-383-2018
fatcat:6jj27cb2r5dudhvqgmhntisg7u
Polarization Optimization for the Detection of Multiple Persistent Scatterers Using SAR Tomography
2022
Remote Sensing
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a significant performance gain in the detection of multiple scatterers compared to the existing full-polarization-based detection method. ...
The detection of multiple interfering persistent scatterers (PSs) using Synthetic Aperture Radar (SAR) tomography is an efficient tool for generating point clouds of urban areas. ...
This calls for the extension of testing to multiple stages. ...
doi:10.3390/rs14091960
fatcat:rgzjbq2nw5djbejaodxd33dsgu
FULL POLARIMETRIC UAVSAR IMAGE CHANGE DETECTION BASED ON CHANGE INDICES
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Change detection is one of the most important applications of Polarimetric Synthetic Aperture Radar (PolSAR) data in monitoring urban development and supporting urban planning due to the sensibility of ...
We evaluated the change detection performance based on kappa and overall accuracies of the proposed approach and compared with other well-known classic methods. ...
Moreover, due to the more precious information of polarimetric data, additional change indices based on the covariance matrix such as the test of equality for two complex Wishart matrixes can be considered ...
doi:10.5194/isprs-archives-xlii-4-w18-1107-2019
fatcat:gdvospgpkng5xc4p7x4jwhsytq
Joint exploitation of spaceborne SAR images and GIS techniques for urban coherent change detection
2020
Remote Sensing of Environment
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A comparison with other SAR and optical change detection methods is also carried out. ...
This environment is indeed one of the most challenging for the detection of those changes that are of any real interest since these events are masked by thousands of irrelevant detections. ...
Introduction The detection of changes is one of the most important applications of Synthetic Aperture Radar interferometry. ...
doi:10.1016/j.rse.2020.112152
fatcat:kl63atzy7bcs5evh4lure5c5pm
PI3K/mTOR and topoisomerase inhibitors with potential activity against SARS-CoV-2 infection
[article]
2020
medRxiv
pre-print
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Retrospective clinical data suggest that patients on these agents may be less likely to test positive for SARS-CoV-2. ...
for reduced expression of ACE2, a host gene associated with SARS-CoV-2 infection. ...
Covariates with a p-value of less than or equal to 0.10 were placed into a multivariate model, and logistic regression was performed. ...
doi:10.1101/2020.09.02.20186783
fatcat:rbxie4nh4rfbfb5muufueqezq4
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