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Author: Mustapha Slimani
Publisher:
ISBN:
Category :
Languages : fr
Pages : 98
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Book Description
LES IMAGES UTILISEES SONT DES SIMULATIONS D'IMAGES SPOT FOURNIES PAR LE CNES. LA TEXTURE EST LA TRADUCTION DE LA STRUCTURE EXISTANT DANS UNE IMAGE. LE BUT DE L'ANALYSE DE TEXTURE EST DE QUANTIFIER L'INFORMATION QUI EXISTE ENTRE UN PIXEL ET SES VOISINS DANS UNE IMAGE. BIBLIOGRAPHIE DES METHODES UTILISEES. SELECTION DE LA METHODE DES MATRICES DE COOCCURENCE ET LA METHODE DES DIFFERENCES STATISTIQUES. SEGMENTATION DES IMAGES CONSTITUEES D'UN CERTAIN NOMBRE DE TYPES DE TEXTURE
Author: Mustapha Slimani
Publisher:
ISBN:
Category :
Languages : fr
Pages : 98
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Book Description
LES IMAGES UTILISEES SONT DES SIMULATIONS D'IMAGES SPOT FOURNIES PAR LE CNES. LA TEXTURE EST LA TRADUCTION DE LA STRUCTURE EXISTANT DANS UNE IMAGE. LE BUT DE L'ANALYSE DE TEXTURE EST DE QUANTIFIER L'INFORMATION QUI EXISTE ENTRE UN PIXEL ET SES VOISINS DANS UNE IMAGE. BIBLIOGRAPHIE DES METHODES UTILISEES. SELECTION DE LA METHODE DES MATRICES DE COOCCURENCE ET LA METHODE DES DIFFERENCES STATISTIQUES. SEGMENTATION DES IMAGES CONSTITUEES D'UN CERTAIN NOMBRE DE TYPES DE TEXTURE
Author:
Publisher:
ISBN:
Category :
Languages : fr
Pages :
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Author: Charfi Olfa
Publisher: Editions Universitaires Europeennes
ISBN: 9783841669810
Category :
Languages : fr
Pages : 96
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Book Description
Le present ouvrage s'articule autour de trois chapitres afin de cerner la problematique liee aux textures de deux types d'images de teledetection a mode d'acquisition differents. Dans le premier chapitre, nous avons devoile statistiquement la forte correlation des textures qui sont difficilement identifiables par les methodes conventionnelles. A cet effet, dans un second chapitre, plusieurs methodes ont ete utilisees pour extraire l'information essentielle de chaque texture et de leur attribuer des signatures texturales. Les transformations orthogonales ACI, TKL, TO, ont montrees leurs performances pour la decorrelation des textures. Puis, dans un troisieme chapitre, nous avons elabore des bancs de filtres lineaires texturaux permettant d'identifier separement les textures des images. Ces filtres sont concus a partir de la TKL, des filtres de Gabor et de la TO-MGG. Dans le dernier chapitre, des classifieurs intelligents, connus pour leur robustesse pour resoudre le probleme de la discrimination non-lineaire, ont ete utilises. Les reseaux concus sont: FFNN, SVM, QNN. L'evaluation de ces methodes est realisee en termes de taux de classification des textures"
Author: Chih-Cheng Hung
Publisher: Springer
ISBN: 3030137732
Category : Computers
Languages : en
Pages : 264
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Book Description
This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: provides self-test exercises in every chapter; describes the basics of image texture, texture features, and image texture classification and segmentation; examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification; explains the concepts of dimensionality reduction and sparse representation; discusses view-based approaches to classifying images; introduces the template for the K-views algorithm, as well as a range of variants of this algorithm; reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks. This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.
Author: Hui Lin
Publisher:
ISBN:
Category :
Languages : fr
Pages : 107
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Book Description
ETUDE DE LA CLASSIFICATION D'IMAGE EN TELEDETECTION A L'AIDE DE L'INFORMATION SPATIALE (TEXTURE). COMPRESSION DES DONNEES VISANT A REDUIRE LA REDONDANCE DES BANDES MULTISPECTRALES ET A ECONOMISER LE TEMPS DE CALCUL. IMPLANTATION DE TROIS ALGORITHMES DE COMPRESSION ET CHOIX D'UN ALGORITHME APPROPRIE POUR L'ANALYSE DE LA TEXTURE. ALGORITHMES HIERARCHIQUES DE CLASSIFICATION
Author: Carlos Bateira
Publisher: BoD – Books on Demand
ISBN: 9535106899
Category : Social Science
Languages : en
Pages : 328
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Book Description
The terrestrial space is the place of interaction of natural and social systems. The cartography is an essential tool to understand the complexity of these systems, their interaction and evolution. This brings the cartography to an important place in the modern world. The book presents several contributions at different areas and activities showing the importance of the cartography to the perception and organization of the territory. Learning with the past or understanding the present the use of cartography is presented as a way of looking to almost all themes of the knowledge.
Author: Minh Tân Pham
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
This thesis work proposes a novel pointwise approach for texture analysis in the scope of very high resolution (VHR) remote sensing imagery. This approach takes into consideration only characteristic pixels, not all pixels of the image, to represent and characterize textural features. Due to the fact that increasing the spatial resolution of satellite sensors leads to the lack of stationarity hypothesis in the acquired images, such an approach becomes relevant since only the interaction and characteristics of keypoints are exploited. Moreover, as this technique does not need to consider all pixels inside the image like classical dense approaches, it is more capable to deal with large-size image data offered by VHR remote sensing acquisition systems. In this work, our pointwise strategy is performed by exploiting the local maximum and local minimum pixels (in terms of intensity) extracted from the image. It is integrated into several texture analysis frameworks with the help of different techniques and methods such as the graph theory, the covariance-based approach, the geometric distance measurement, etc. As a result, a variety of texture-based applications using remote sensing data (both VHR optical and radar images) are tackled such as image retrieval, segmentation, classification, and change detection, etc. By performing dedicated experiments to each thematic application, the effectiveness and relevance of the proposed approach are confirmed and validated.
Author: Danielle J. Marceau
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Jacques Quach
Publisher:
ISBN:
Category :
Languages : fr
Pages : 118
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Book Description
Author: Association québécoise de télédétection. Congrès
Publisher: [Sherbrooke, Québec] : Centre d'applications et de recherches en télédétection
ISBN:
Category : Environmental engineering
Languages : en
Pages : 944
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Book Description
