2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)最新文献_第9页

Comparative study of supervised and unsupervised classification methods: Application to automatic MRI glioma brain tumors segmentation 监督与非监督分类方法的比较研究:在MRI脑胶质瘤自动分割中的应用

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364463

Aymen Bougacha, J. Boughariou, M. Slima, A. Hamida, K. Mahfoudh, O. Kammoun, C. Mhiri

引用次数: 5

A Bayesian approach for parameter estimation in railway systems 铁路系统参数估计的贝叶斯方法

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364485

Nouha Jaoua, P. Vanheeghe, Nicolas Navarro, Olivier Langlois, Marius Iordache

引用次数: 2

Microstrip and HMSIW six-port junctions designs and comparison 微带和HMSIW六端口结的设计和比较

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364521

S. Lakhdhar, F. Harabi, A. Gharsallah

引用次数: 0

Analysis of descriptors relevant to image search by content 按内容分析与图像搜索相关的描述符

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364452

Amira Slimani, Z. Lachiri

引用次数: 0

Land change detection using multivariate alteration detection and Chi squared test thresholding 土地变化检测采用多变量变化检测和卡方检验阈值法

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364501

A. Tahraoui, R. Khedam, A. Bouakache, A. B. Aissa

引用次数: 2

Genetic and practical swarm optimisation algorithms for patient-specific seizure detection systems 遗传和实用的群体优化算法为患者特定的癫痫检测系统

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364465

S. Ammar, Omar Trigui, Senouci Mohamed

引用次数: 4

Weighted PCA-EFMNet: A deep learning network for Face Verification in the Wild 加权PCA-EFMNet:一种用于野外人脸验证的深度学习网络

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364460

Bilel Ameur, M. Belahcene, Sabeur Masmoudi, A. Hamida

{"title":"Weighted PCA-EFMNet: A deep learning network for Face Verification in the Wild","authors":"Bilel Ameur, M. Belahcene, Sabeur Masmoudi, A. Hamida","doi":"10.1109/ATSIP.2018.8364460","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364460","url":null,"abstract":"The term “Wild” refers to unconstrained face recognition considered as a challenging problem due to considerable intra-class variations resulting from lighting, occlusion, facial expressions and poses changes. These challenges greatly influence the facial recognition systems performance, especially those relying on 2D information. The paper proposes an efficient deep learning network for feature extraction based on data processing components: 1) Cascaded Weighted principal component analysis with enhanced fisher model (WPCA-EFM); 2) Binary hashing; and 3) Histograms. Weighted PCA-EFM, our proposed architecture, was applied in order to learn multistage filter banks. Then, simple block histograms and simple binary hashing were applied for indexing and pooling. Therefore, the proposed architecture, named the Weighted PCA-EFM network (Weighted PCA-EFMNet), can be efficiently and easily designed and learned for Face Verification in the Wild. Ultimately, the classification is carried employing distance measure Cosine as well as support vector machine (SVM). Our experiments were carried out on real-world dataset: Labeled Faces in the Wild (LFW). Experimental results show that the proposed methods achieve high accuracy of 95%.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131010075","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: 6

Robust watermarking scheme integrated into JPWL based on Turbo-Trellis-Coded quantization 基于涡轮网格编码量化的JPWL鲁棒水印方案

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364456

Hanen Rhayma, A. Makhloufi, A. Hmida

引用次数: 1

Time series of urban radiative budget maps derived from EO satellites using a physical remote sensing model 使用物理遥感模型从EO卫星获得的城市辐射预算图的时间序列

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364509

J. Gastellu-Etchegorry, L. Landier, A. Al Bitar, N. Lauret, T. Yin, Jianbo Qi, J. Guilleux, E. Chavanon, C. Feigenwinter, Z. Mitraka, N. Chrysoulakis

{"title":"Time series of urban radiative budget maps derived from EO satellites using a physical remote sensing model","authors":"J. Gastellu-Etchegorry, L. Landier, A. Al Bitar, N. Lauret, T. Yin, Jianbo Qi, J. Guilleux, E. Chavanon, C. Feigenwinter, Z. Mitraka, N. Chrysoulakis","doi":"10.1109/ATSIP.2018.8364509","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364509","url":null,"abstract":"Models that simulate the radiative budget (RB) and remote sensing (RS) observation of landscapes with physical approaches and consideration of the three-dimensional (3-D) architecture of Earth surfaces are increasingly needed to better understand the life-essential cycles and processes of our planet and to further develop RS technology. DART (Discrete Anisotropic Radiative Transfer) is one of the most comprehensive physically based 3-D models of Earth-atmosphere optical radiative transfer (RT), from ultraviolet to thermal infrared. It simulates the optical 3-D RB and signal of proximal, aerial and satellite imaging spectrometers and laser scanners, for any urban and/or natural landscapes and for any experimental and instrumental configurations. It is freely available for research and teaching activities. Here, an application is presented after a summary of its theory and recent advances: inversion of Sentinel 2 images for simulating time series of urban radiative budget QV maps through the determination of maps of urban surface material. Results are very encouraging: satellite and in-situ Qsiv are very close (RMSE » 15 W/m2; i.e. 2.7% mean relative difference).","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116111500","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

Bayesian inversion technique of olive tree biophysical properties using Sentinel-2 images 基于Sentinel-2图像的橄榄树生物物理性质贝叶斯反演技术

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-01 DOI: 10.1109/ATSIP.2018.8364492

H. Abdelmoula, A. Kallel, J. Roujean, Sihem Châabouni, K. Gargouri, M. Ghrab, J. Gastellu-Etchegorry, N. Lauret

引用次数: 0