[PDF] Top 20 Modeling the statistics of high resolution SAR images
Has 10000 "Modeling the statistics of high resolution SAR images" found on our website. Below are the top 20 most common "Modeling the statistics of high resolution SAR images".
Modeling the statistics of high resolution SAR images
... In the context of synthetic aperture radar (SAR) image processing a crucial problem is represented by the need to develop accurate models for the statistics of the ... Voir le document complet
47
Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas and Markov random fields using textural features
... i.e. the statistics of SAR amplitudes are considered as mixtures of K parametric components that are automatically drawn from a dictionary of SAR- specific ...in ... Voir le document complet
12
Parameter Estimation and Modeling of High Resolution Synthetic Aperutre Radar Data
... Contribution of the Thesis The thesis deals with information extraction and enhancement of meter resolution SAR data aiming to provide better content descriptors for further ... Voir le document complet
200
Fusion of Range and Stereo Data for High-Resolution Scene-Modeling
... HR images and disparity maps for MIXCAM dataset obtained by (from left to right) ELAS, FastAgg, F-MRF (GC), F-ECC, and F-ECC after ...half-resolution images (812 × 612), due to its tremendous memory ... Voir le document complet
15
High resolution SAR-image classification by Markov random fields and finite mixtures
... For the purpose of modeling the joint distribution of a multivariate random vectors given marginal distributions we employ copulas ...current SAR sensors include a Dual-Pol ... Voir le document complet
14
Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and its Validation with Very High Resolution Data
... address the problem of estimating the amplitude probability density function (pdf) of single-channel synthetic aperture radar (SAR) ...extending the recently proposed ... Voir le document complet
6
3-D Characterization of Urban Areas Using High-Resolution Polarimetric SAR Tomographic Techniques and a Minimal Number of Acquisitions
... the limited size of the sets of statistically stationary samples used to compute second-order ...multidimensional SAR filtering methods [11], [12] have been designed to preserve ... Voir le document complet
19
High-resolution optical and SAR image fusion for building database updating
... In the DB verification step, we consider objects coming from the DB (for buildings, these objects are ...For the detection of new objects (left part of the chain shown in ...1), ... Voir le document complet
12
Dictionary-based probability density function estimation for high-resolution SAR data
... In the context of remotely sensed data analysis, a crucial problem is represented by the need to develop accurate models for the statistics of pixel ...for the ... Voir le document complet
14
High resolution SAR-image classification
... for SAR classification using solely the amplitude data and not the complex data as the approaches ...novel high resolution satellite SAR systems are geocoded ... Voir le document complet
40
Unsupervised Learning of Generalized Gamma Mixture Model with Application in Statistical Modeling of High-Resolution SAR Images
... for the “India-Port16” and “Port-au-Prince16” images. On the one hand, the difference obtained on “India-Port16” is almost negligible, which is consistent with the visual interpretation ... Voir le document complet
24
Classification of very high resolution SAR images of urban areas
... report, the proposed supervised Bayesian classification is statistical and can be divided into two ...steps. The first step deals with the SAR amplitude statistical mod- eling for each class ... Voir le document complet
39
Supervised High Resolution Dual Polarization SAR Image Classification by Finite Mixtures and Copulas
... family of probabilistic image models that provide a convenient and consistent way to characterize context dependent data ...[22]. The latter has been developed for the purpose of ... Voir le document complet
14
Selecting the modeling order for the ESPRIT high resolution method: an alternative approach
... values of p are relevant. Indeed, high values are reached at p = 4, 6, 12, which in fact correspond to small jumps in the singular values decrease (not represented ...Therefore, the ESTER ... Voir le document complet
5
Image decomposition: application to textured images and SAR images
... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ... Voir le document complet
57
Automated mapping of coastline from high resolution satellite images using supervised segmentation
... 2007). The automatic acquisition of this information is complex, difficult and time consuming over large areas when using traditional ground survey ...on the morphological characteristics of ... Voir le document complet
4
Tensor-based methods for numerical homogenization from high-resolution images
... approximation of tensors, practical algorithms have only been provided for the approximation in canonical tensor ...ill-posedness of best approximation problems in the set of rank-r ... Voir le document complet
36
Extraction of cartographic objects in high resolution satellite images for object model generation
... Abstract The aim of this study is to detect man-made cartographic objects in high-resolution satellite ...spatial resolution, in which it is possible (and necessary) to develop methods ... Voir le document complet
5
A high-resolution index for vegetation extraction in IKONOS images
... from the University of Sidi Bel Abbes, Sidi Bel Abbes, ...in the Department of Electronic Engineering, University of Sidi Bel Abbes, where he has been teaching since ...Director ... Voir le document complet
12
Enhancing Geological and Structural Elements Through PCA of SAR, Integrated High-Resolution Radiometry and VIMS Data on Titan
... Titan, the use of the Principal Component Analysis (PCA) allow the en- hancement and extraction of unique infor- mation that can aid interpretation and map- ...ping. SAR, ... Voir le document complet
3
Sujets connexes