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2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)最新文献

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Radar target recognition using time-frequency analysis and polar transformation 基于时频分析和极坐标变换的雷达目标识别
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364500
J. Cexus, A. Toumi
{"title":"Radar target recognition using time-frequency analysis and polar transformation","authors":"J. Cexus, A. Toumi","doi":"10.1109/ATSIP.2018.8364500","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364500","url":null,"abstract":"A new method for Automatic Radar Targets Recognition is presented based on Inverse Synthetic Aperture Radar (ISAR). In this work, the first step is to construct ISAR images via a Non uniformly Sampled Bivariate Empirical Mode Decomposition Time-Frequency Distribution (NSBEMD-TFD) method. Indeed, this Time-Frequency representation is well suited for non-stationary signals analysis and provides high resolution with good accuracy. The obtained ISAR images is used to provide the evolution of two-dimensional spatial distribution of a moving target and, therefore, its are suitable to be used for radar target recognition tasks. In second step, a feature vectors are extracted from each ISAR images in order to describe the discriminative informations about a target. In the features extraction step, we computed several rings of polar space applied on ISAR image. Then, these rings is projected on 1-D vector. To ensure translation invariance of the obtained projected 1-D vector, a Fourier Descriptors are computed. In third step of this work, the recognition task is achieved using k-Nearest Neighbors (K-NN), Fuzzy k-NN, Neural network and Bayesian classifiers. To validate our approach, simulation results are presented on a set of several targets constituted by ideal point scatterers models.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130162706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Electromagnetic characterization of a polluted maritime surface 受污染海面的电磁特性
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364495
H. Ghanmi, A. Khenchaf, F. Comblet
{"title":"Electromagnetic characterization of a polluted maritime surface","authors":"H. Ghanmi, A. Khenchaf, F. Comblet","doi":"10.1109/ATSIP.2018.8364495","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364495","url":null,"abstract":"The objective of this paper is to analyze the effect of the pollutant such as petrol-emulsion on the electromagnetic scattered filed by a maritime surface. Firstly, we investigate the pollutant influence on the maritime surface and physical properties of seawater. Then, we simulate the variation of electromagnetic scattering of the clean maritime surface and also the polluted surface. In this study, the clean and polluted seas are modeled using a semi-empirical spectrum. The simulations of scattering coefficients are realized by using the Forward-Backward Method (FBM), the Composite Two Scale-Model (CTSM) and the Small Slope Approximation (SSA) in monostatic and bistatic configurations. The effect of the pollutant on the electromagnetic scattering of a maritime surface has been studied as function of oil percentage, angles, frequency values and polarization state.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130706996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images 基于描述逻辑的卫星图像时空对象动态建模的定性语义时空推理
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364338
Fethi Ghazouani, I. Farah, B. Solaiman
{"title":"Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images","authors":"Fethi Ghazouani, I. Farah, B. Solaiman","doi":"10.1109/ATSIP.2018.8364338","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364338","url":null,"abstract":"Providing a mechanism for modeling and reasoning about the dynamics of geographic spatio-temporal objects is a challenge issue and main problem due to the complex characteristics describing these objects. A spatio-temporal geographical entity is defined as a set composed by spatial, temporal and semantic (thematic) dimensions, of which various types of relationships can be specified. Changes in the state of each component are the result of geographic events and processes that may occur. Remotely sensed images provide measurements and observations that can be used for the interpretation of dynamic spatio-temporal objects. The observed proprieties are used to classify geographic objects and monitor change that occurs in such object. The intended paper focuses to model the dynamics of spatio-temporal object from a remote sensing observation viewpoint. Dynamic, here, is represented in term of events such as reduction and expansion, split and merging, etc. and in term of geographic processes such deforestation and urbanization. To achieve this purpose, we exploit the description logic extended to semantic spatio-temporal concrete domain as a mechanism for semantic-spatio-temporal reasoning and dynamic representation.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128325409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Evaluation of the optimal number of clusters for unsupervised flood mapping using Interferometric Synthetic Aperture RADAR data 基于干涉合成孔径雷达数据的无监督洪水制图最优簇数评价
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364503
Chayma Chaabani, R. Abdelfattah
{"title":"Evaluation of the optimal number of clusters for unsupervised flood mapping using Interferometric Synthetic Aperture RADAR data","authors":"Chayma Chaabani, R. Abdelfattah","doi":"10.1109/ATSIP.2018.8364503","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364503","url":null,"abstract":"In this paper, we are dealing with image clustering in regard to the flooding extent delineation using Synthetic Aperture RADAR (SAR) and Interferometric SAR (InSAR) data. Even though we focus on flood mapping, it is not necessarily correct to consider the data division into two clusters (flooded and not flooded regions). In the context of unsupervised classification, the selection of optimal clusters number is a crucial task that affects the understanding of the clustering result. Therefore, the main objective of this work is to specify the required number of clusters needed in order to get an accurate flood map using the improved FCM approach that takes into account the InSAR coherence information. Indeed, we are solving this cluster analysis problem using fuzzy internal validity criteria namely Partition Coefficient and Partition Entropy indices. Lastly, we present experimental results concerning the Mallegue river flooding event that happened in 2005 in the North-West of Tunisia.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130073655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Partial volume effect correction in PET image using iterative deconvolution and shearlet transform 基于迭代反褶积和shearlet变换的PET图像局部体积效应校正
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364522
Hajer Jomaa, R. Mabrouk, Nawrès Khlifa
{"title":"Partial volume effect correction in PET image using iterative deconvolution and shearlet transform","authors":"Hajer Jomaa, R. Mabrouk, Nawrès Khlifa","doi":"10.1109/ATSIP.2018.8364522","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364522","url":null,"abstract":"The partial volume effect (PVE) is a degradation affected the positron emission tomography (PET) images. This limitation is due to the tissue fraction effect and the limited spatial resolution of the PET image. Here, we present a new correction method based on iterative deconvolution and shearlet transform. The purpose of this findig is to overcome the amplification of noise caused by the Lucy-Richardson deconvolution algorithm (LRD). A regularization step based on a shearlet transform was used in order to reduce the noise level generated by LRD. The method provided good SNR improvements and achieved a notable intensity recovery.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A comparison of big remote sensing data processing with Hadoop MapReduce and Spark Hadoop MapReduce与Spark在大遥感数据处理中的比较
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364497
Imen Chebbi, W. Boulila, N. Mellouli, M. Lamolle, I. Farah
{"title":"A comparison of big remote sensing data processing with Hadoop MapReduce and Spark","authors":"Imen Chebbi, W. Boulila, N. Mellouli, M. Lamolle, I. Farah","doi":"10.1109/ATSIP.2018.8364497","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364497","url":null,"abstract":"The continuous generation of huge amount of remote sensing (RS) data is becoming a challenging task for researchers due to the 4 Vs characterizing this type of data (volume, variety, velocity and veracity). Many platforms have been proposed to deal with big data in RS field. This paper focus on the comparison of two well-known platforms of big RS data namely Hadoop and Spark. We start by describing the two platforms Hadoop and Spark. The first platform is designed for processing enormous unstructured data in a distributed computing environment. It is composed of two basic elements : 1) Hadoop Distributed file system for storage, and 2) Mapreduce and Yarn for parallel processing, scheduling the jobs and analyzing big RS data. The second platform, Spark, is composed by a set of libraries and uses the resilient distributed data set to overcome the computational complexity. The last part of this paper is devoted to a comparison between the two platforms.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133934301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Decryption of BSS based encrypted speech without a priori knowledge of the key signal 基于BSS的加密语音解密，无需先验的密钥信号知识
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364516
Anissa Farhati, A. B. Aicha, R. Bouallègue
{"title":"Decryption of BSS based encrypted speech without a priori knowledge of the key signal","authors":"Anissa Farhati, A. B. Aicha, R. Bouallègue","doi":"10.1109/ATSIP.2018.8364516","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364516","url":null,"abstract":"When speech is transmitted over non reliable channel, encryption techniques are needed to secure the communication. BSS-based speech encryption aims to encrypt speech signal by linearly combining it with secret key signal. Decryption can be done only if the receiver has the secret confidential key. In this paper, we study the possibility of recovering an intelligible version of confidential signal from encrypted one. The proposed method shows that it is feasible to extract an intelligible version of speech even without the secret key.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123050287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Color image segmentation with bounded generalized Gaussian mixture model and feature selection 基于有界广义高斯混合模型的彩色图像分割与特征选择
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364459
Ines Channoufi, S. Bourouis, N. Bouguila, K. Hamrouni
{"title":"Color image segmentation with bounded generalized Gaussian mixture model and feature selection","authors":"Ines Channoufi, S. Bourouis, N. Bouguila, K. Hamrouni","doi":"10.1109/ATSIP.2018.8364459","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364459","url":null,"abstract":"We present a novel method for color image segmentation based on an unsupervised learning model and feature selection. Our focus here is to develop an expectation maximization algorithm based on a mixture of bounded generalized Gaussian model combined with a feature selection mechanism. The developed statistical model offers more flexibility in data modeling than the Gaussian distribution and the feature selection mechanism aims at eliminating irrelevant features and then improving the segmentation performances. Obtained results performed on a large dataset of real world color images confirm the effectiveness of the proposed approach.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128704922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
Resolution of 2-D time domain electric field integral equation with RWG functions using novel mesh technique based on hexagonal mesh 基于六边形网格的二维时域电场积分方程求解
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364341
A. Khaled, D. Omri, T. Aguili
{"title":"Resolution of 2-D time domain electric field integral equation with RWG functions using novel mesh technique based on hexagonal mesh","authors":"A. Khaled, D. Omri, T. Aguili","doi":"10.1109/ATSIP.2018.8364341","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364341","url":null,"abstract":"For efficient EM space modeling, it is very often needed an optimal type of meshing. Techniques and algorithms for meshing in triangles are much developed than another mesh type. In this paper, we present a resolution of 2-D time domain electric field integral equation with RWG functions (Rao, Wilton and Glisson's function) using novel mesh technique based on hexagonal mesh. (TD-IE) are applied to analyze transient radiation from square plate illuminated by an incident electromagnetic wave. A new basis function derived from RWG functions is used as space base and Laguerre functions as temporal basis function. Numerical results that validate and demonstrate the efficacy and accuracy of the proposed technique are presented and compared with another mesh technique.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The estimation of buried empty cylindrical tubes characteristics using GPR 地埋空圆柱管特性的探地雷达估计
2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364486
Rim Ghozzi, S. Lahouar, C. Souani
{"title":"The estimation of buried empty cylindrical tubes characteristics using GPR","authors":"Rim Ghozzi, S. Lahouar, C. Souani","doi":"10.1109/ATSIP.2018.8364486","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364486","url":null,"abstract":"This paper proposes a method to estimate three parameters: the radius, the depth of buried empty cylindrical tubes and the dielectric constant of the surrounding medium, by Ground Penetration Radar (GPR). These parameters are detected and characterized by radargrams. Those radargrams contain a parabolic shape that indicates the presence of target. This is can be achieved through two major phases: the processing stage of the electromagnetic (EM) signals which are received by the GPR. This stage is followed by another one which is the fitting curve of the parabolic shape appeared in the radargram. Finally, the results clearly indicate that this method is perfectly able to estimate the depth within 1.66%, mean average error rate and the relative permittivity of the emulsion of 3.41% and that the radius of 29.52%, whish justify and validates the model used.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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