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Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions
2008
IEEE Transactions on Image Processing
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These distributions referred to as multisensor multivariate gamma distributions (MuMGDs) are potentially interesting for detecting changes in SAR images acquired by different sensors having different numbers ...
This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar (SAR) images. ...
Section II recalls important results on monosensor multivariate gamma distributions (MoMGDs). Section III defines the family of MuMGDs considered for change detection in multisensor SAR images. ...
doi:10.1109/tip.2008.916047
pmid:18270116
fatcat:kmvxg7p4sfcpjlhphwdmd6ficu
Classification of oyster habitats by combining wavelet-based texture features and polarimetric SAR descriptors
2015
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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In this study, we propose to evaluate the potential of combining very high resolution optical and SAR images for the classification of oyster habitats in tidal flats. ...
This demonstrate the benefit of using both optical and SAR data for oyster habitats mapping in tidal flats. ...
Therefore, in addition to texture features computed from optical data, descriptors derived from VHR SAR data are used and a multisensor fusion scheme is proposed to enhance the mapping accuracy. ...
doi:10.1109/igarss.2015.7326674
dblp:conf/igarss/RegniersBILG15
fatcat:p2xuvepzevfyjpctxbbxhazhzm
SAR image segmentation using generalized pairwise Markov chains
2003
Image and Signal Processing for Remote Sensing VIII
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We will compare the PMC model with respect to the HMC one for the unsupervised segmentation of SAR images, for both Gaussian distributions and Pearson system of distributions. ...
The efficiency of Markov models in the context of SAR image segmentation mainly relies on their spatial regularity constraint. ...
Multisensor and multiresolution images can still be segmented using HMC 5, 6 . ...
doi:10.1117/12.463177
fatcat:shbx34oq6vdp7og2jm27fshpou
Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images
2008
IEEE Transactions on Geoscience and Remote Sensing
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In a previous study, it was proven that the local statistics of the images acquired at the two dates could be used to extract a relevant change indicator. ...
Then, usual Kullback-Leibler-based comparisons of those statistics are applied to define a change measure, which may be analyzed (e.g., by thresholding) in order to detect changes. ...
ACKNOWLEDGMENT The authors would like to thank CNES for the validation of ground truth and for the ERS and SPOT images, under the contract Détection de Changements Abrupts (DéCA, Project RI-022), which ...
doi:10.1109/tgrs.2008.916476
fatcat:wglug54mbrhe7cy4drdfnkz4fe
Heterogeneous clutter model for high resolution polarimetric SAR data processing
2011
2011 IEEE International Geoscience and Remote Sensing Symposium
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The proposed method is tested with airborne POLSAR images provided by the ONERA RAMSES system. ...
The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model. ...
Hence one can set the degrees of freedom of FP normalized covariance matrix estimators as: q 1 = N m m + 1 . (10) On the other hand, Chatelain et al. established the multisensor bivariate gamma distribution ...
doi:10.1109/igarss.2011.6050039
dblp:conf/igarss/Vasile0OF11
fatcat:p4ji5ogz2bborkzidq6sszykf4
Optimal Parameter Estimation in Heterogeneous Clutter for High-Resolution Polarimetric SAR Data
2011
IEEE Geoscience and Remote Sensing Letters
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The proposed method is tested with airborne POLSAR images provided by the ONERA RAMSES system. ...
The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model. ...
Tison (CNES, France) for providing the high-resolution POLSAR images over Toulouse. ...
doi:10.1109/lgrs.2011.2152363
fatcat:4g5nf6cewnbyjm3b3qupcmeqxq
Optimal parameter estimation in heterogeneous clutter for high resolution polarimetric SAR data
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
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The proposed method is tested with airborne POLSAR images provided by the ONERA RAMSES system. ...
The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model. ...
Tison (CNES, France) for providing the high-resolution POLSAR images over Toulouse. ...
doi:10.1109/igarss.2010.5654203
dblp:conf/igarss/VasilePOZG10
fatcat:uhiunswzivecxokeil64hcjs2y
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
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., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary ...
Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS ...
.,
+, TGRS Aug. 2019 5799-5812
Gamma distribution
Bivariate Gamma Distribution for Wavelength-Resolution SAR Change
Detection. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Contents
2011
Procedia Engineering
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Infrared Video Guo Jie-Rong and Liu Chang-Qing . . ...
. . 944 Fault Diagnosis Approach of Hydraulic System using FARX Model Xiangyu He . . . 1041 Moving Objects Detection based on Kernel Independent Component Analysis Chunsheng Guo and Feng Xuan . ...
Performance Evaluation for Learners in Distance Vocational Education Qinglong Zhan and Lin Zhang . . 5598 An Approach to Improving Attitude Estimation using Sensor ...
doi:10.1016/s1877-7058(11)04811-9
fatcat:adrkzzediretxma23pbeqmltvu
Registration of synthetic aperture imagery using feature matching
[article]
2018
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An important application in sonar research is change detection, which is reliant on accurate alignment of repeat-pass images. ...
The registration pipeline uses the Scale Invariant Feature Transform (SIFT) and RANSAC estimation, a popular combination in computer vision. ...
Mutual information can be used to register multi-spectral, multisensor, or multimodal images in spite of their different radiometric properties, such as the registration of SAR and optical images [Inglada ...
doi:10.26021/1636
fatcat:wdg6bwv6yvgz7h54wakxgpsbry
Back Matter
[chapter]
Optical Satellite Signal Processing and Enhancement
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Twenty-two DR output channels are used. ...
184
digital surface model (DSM), 4
dilation operation, 463
dimensionality, 352
dimensionality reduction, 419, 459
diode-laser-pumped, 34, 35
diode-pumped, 32, 33
Dirac distribution, 262
direct-detection ...
He is an internationally recognized expert in optical spacecraft payloads, space technologies for satellite missions and deep space exploration, remote sensing, satellite image processing and analysis, ...
doi:10.1117/3.1000981.bm
fatcat:f5adqhyavjc3fplozmyg5b3eqm
Back Matter
[chapter]
Color Image Processing with Biomedical Applications
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Robust detection and classification of
longitudinal changes in color retinal fundus images for monitoring di-
abetic retinopathy. IEEE Transactions on Biomedical Engineering,
53(6):1084-1098, 2006. ...
[220] Seminowich S, Sar A, Yilmaz S, and Rangayyan RM. Segmentation of
cell nuclei in images of renal biopsy samples. ...
doi:10.1117/3.887920.bm
fatcat:dmyx3hkw4nbbrncvygr6hqj6jq