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A computational introduction to digital image processing / Alasdair McAndrew (2016)
Titre : A computational introduction to digital image processing Type de document : Monographie Auteurs : Alasdair McAndrew Mention d'édition : Second edition Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2016 Importance : 535 p. Présentation : illustrations Format : 18 x 26 cm ISBN/ISSN/EAN : 978-1-4822-4732-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] compression par ondelettes
[Termes IGN] GNU Octave
[Termes IGN] image en couleur
[Termes IGN] Matlab
[Termes IGN] Python (langage de programmation)
[Termes IGN] restauration d'image
[Termes IGN] segmentation d'image
[Termes IGN] transformation de Fourier
[Termes IGN] voisinage (relation topologique)Index. décimale : 35.20 Traitement d'image Résumé : (Editeur) This book explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. This second edition provides users with three different computing options. Along with MATLAB®, this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics. Based on the author’s successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material. Note de contenu :
1. Introduction
2. Images Files and File Types
3. Image Display
4. Point Processing
5. Neighborhood Processing
6. Image Geometry
7. The Fourier Transform
8. Image Restoration
9. Image Segmentation
10. Mathematical Morphology
11. Image Topology
12. Shapes and Boundaries
13. Color Processing
14. Image Coding and Compression
15. Wavelets
16. Special Effects
Appendix A: Introduction to MATLAB and Octave
Appendix B: Introduction to Python
Appendix C: The Fast Fourier TransformNuméro de notice : 22951 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91638 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 22951-01 35.20 Livre Centre de documentation Télédétection Disponible Entwicklung einer direkten Georeferenzierungseinheit zur Positions- und Orientierungbestimmung leichter UAVs in Eichzeit / Christian Eling (2016)
Titre : Entwicklung einer direkten Georeferenzierungseinheit zur Positions- und Orientierungbestimmung leichter UAVs in Eichzeit Type de document : Thèse/HDR Auteurs : Christian Eling, Auteur Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2016 Collection : DGK - C, ISSN 0065-5325 num. 788 Importance : 107 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-7696-5200-0 Note générale : bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] drone
[Termes IGN] géoréférencement direct
[Termes IGN] GPS-INS
[Termes IGN] magnétomètre
[Termes IGN] onde porteuse
[Termes IGN] photogrammétrie aérienne
[Termes IGN] semis de points
[Termes IGN] système de numérisation mobileRésumé : (auteur) In recent years, Unmanned Aerial Vehicles (UAVs) have been used increasingly as mobile mapping platforms for kinematic applications in the field of geodesy. For this purpose a UAV is usually equipped with a mapping sensor, such as a camera or a laserscanner. A major step to make the collected data useful for surveying applications is the georeferencing, which associates the images or range measurements and the derived products (point clouds, orthofotos, 3D models) with a spatial reference. In this dissertation the development of a direct georeferencing system for real-time position and attitude determination of lightweight UAVs is presented. The term „direct" means that the georeferencing is based on an onboard multi-sensor system. Sensors, which are typically used in this context, are GPS (Global Positioning System) receivers, inertial sensors and magnetometers. For geodetic UAV-applications Micro-UAVs are usually applied, which have a weight limit of 5 kg. Therefore, weight, size and power supply constraints play an important role here. As a result of these limitations inertial sensors based on MEMS (Micro Electro Mechanical System) technology are mostly used. This technology enables the compliance with size and weight limits, but it also leads to significant drift effects in the position and attitude determination after a short period of time. To bound these drift effects and to be able to provide high accuracies (e.g. position: 5 cm, attitude: 0.5 deg) in the direct georeferencing of a Micro-UAV, a high availability of precise GPS carrier phase measurements is crucially important. As a consequence the following aspects will be addressed in this dissertation:
• GPS carrier phase measurements are ambiguous by an unknown number of integer cycles. These so called ambiguities have to be resolved after every loss of lock of the satellite signals to fully exploit the high accuracies of the carrier phase observables. Since the satellite signals are interrupted frequently during kinematic applications, procedures are developed, implemented and evaluated, which enable a fast ambiguity resolution and allow for a high availability of CPS carrier phase measurements under challenging GPS measurement conditions.
• With the aim to realize high accuracies and a high robustness, redundant information from several sensors is integrated in a sensible manner in sensorfusion algorithms In order to be able to deal with challenging GPS measurement conditions, the sensorfusion is realized at the level of GPS raw measurements in a tightly-coupled GPS/MEMS-IMU integration algorithm. In this way GPS carrier phase measurements can even be used, if less than four satellites are visible, which also increases the availability of a precise position estimation. The accuracy improvements of a tightly-coupled over a loosely-coupled integration during challenging GPS measurement conditions are investigated.
• The algorithms are implemented on a multi-sensor system, which has been developed for the direct georeferencing of lightweight UAVs in this dissertation. Results of flight tests and measurements with a portable test system demonstrate that the developed direct georeferencing system leads to position accuracies of less than 5 cm and attitude (roll, pitch, yaw) accuracies of less than 0.2 deg, if GPS carrier-phase measurements are available. Overall, this dissertation gives detailed insights into the development of algorithms and a multi-sensor system for the direct georeferencing of lightweight UAVs in real-time. The findings gained in this thesis are not only valid for the position and attitude determination of lightweight UAVs but also for other mobile platforms, such as cars, ships, airplanes or rail-borne vehicles. Therefore, this work makes an important contribution to a current trend in the field of engineering geodesy, where mapping, monitoring and also setting-out is more and more realized using mobile mapping systems.Numéro de notice : 17380 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère Note de thèse : Dissertation : : Rheinische Friedrich-Wilhelms-Universität Bonn : 2016 DOI : sans En ligne : https://dgk.badw.de/fileadmin/user_upload/Files/DGK/docs/c-788.pdf Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84793
Titre : Les ortho express Type de document : Mémoire Auteurs : Guillaume Vasseur, Auteur Editeur : Paris : Université de Paris 1 Panthéon Sorbonne Année de publication : 2016 Importance : 81 p. Format : 21 x 30 cm Note générale : Bibliographie
Mémoire de Licence professionnelle Géomatique et environnementLangues : Français (fre) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] Aveyron (12)
[Termes IGN] BD ortho
[Termes IGN] correction géométrique
[Termes IGN] correction radiométrique
[Termes IGN] Nord (59)
[Termes IGN] orthoimage
[Termes IGN] prise de vue aérienne
[Termes IGN] qualité d'image
[Termes IGN] qualité radiométrique (image)Index. décimale : LPGE Mémoires de Licence professionnelle géomatique et environnement Résumé : (Auteur) Le service des activités aériennes produit des ortho-images pour la mise à jour de la BD Ortho de l'IGN. Il s'écoule en moyenne 10 mois entre les prises de vues aériennes et la disponibilité des orthophotographies. L'IGN propose une ortho express, un produit intermédiaire disponible quelques semaines après l'acquisition, mais qui est imparfait et présente des ruptures géométriques et colorimétriques. Ces défauts peuvent avoir un impact sur la satisfaction des besoins des utilisateurs. Quels sont ces défauts ? Dans quelles proportions les retrouve-t-on ? Est-il nécessaire de tous les supprimer en fonction des usages exprimés par les commanditaires ? Ce rapport de stage tente de répondre à ces questions et comprend une typologie des défauts, une analyse du type et de la densité des imperfections en fonction de la zone à traiter. Des charges et des délais ont été calculés en fonction du type de corrections à apporter pour assurer la satisfaction des besoins des utilisateurs. Note de contenu : Introduction
1. Typologie des défauts sur l’ortho express
1.1. Les défauts radiométriques
1.2. Les défauts géométriques
2. Détection et correction des défauts
2.1. Défauts radiométriques
2.2. Défauts géométriques
2.3. Propositions
3. Contrôle et corrections sur six zones tests
3.1. Le milieu rural
3.2. Le milieu montagneux
3.3. Le milieu dense
3.4. Le milieu mixte
3.5. Le milieu avec d’importants interdates
3.6. Le littoral
4. Etude marketing et scénario de retouches
4.1. L'Aveyron
4.2. Le département du nord
ConclusionNuméro de notice : 22574 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Mémoire licence Organisme de stage : Service des Activités Aériennes SAA (IGN) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82367 Documents numériques
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22574_Les ortho express.pdfAdobe Acrobat PDF Study of lever-arm effect using embedded photogrammetry and on-board GPS receiver on UAV for metrological mapping purpose and proposal of a free ground measurements calibration procedure / Mehdi Daakir (2016)
Titre : Study of lever-arm effect using embedded photogrammetry and on-board GPS receiver on UAV for metrological mapping purpose and proposal of a free ground measurements calibration procedure Type de document : Article/Communication Auteurs : Mehdi Daakir , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Pierre Bosser , Auteur ; Francis Pichard, Auteur ; Christian Thom , Auteur ; Yohann Rabot, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2016 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 40-3/W4 Conférence : EuroCOW 2016, the European Calibration and Orientation Workshop 10/02/2016 12/02/2016 Lausanne Suisse ISPRS OA Archives Importance : pp 65 - 70 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] antenne GPS
[Termes IGN] drone
[Termes IGN] étalonnage de chambre métrique
[Termes IGN] géoréférencement direct
[Termes IGN] image aérienneRésumé : (auteur) Nowadays, Unmanned Aerial Vehicle (UAV) on-board photogrammetry knows a significant growth due to the democratization of using drones in the civilian sector. Also, due to changes in regulations laws governing the rules of inclusion of a UAV in the airspace which become suitable for the development of professional activities. Fields of application of photogrammetry are diverse, for instance: architecture, geology, archaeology, mapping, industrial metrology, etc. Our research concerns the latter area. Vinci-Construction- Terrassement is a private company specialized in public earthworks that uses UAVs for metrology applications. This article deals with maximum accuracy one can achieve with a coupled camera and GPS receiver system for direct-georeferencing of Digital Surface Models (DSMs) without relying on Ground Control Points (GCPs) measurements. This article focuses specially on the lever-arm calibration part. This proposed calibration method is based on two steps: a first step involves the proper calibration for each sensor, i.e. to determine the position of the optical center of the camera and the GPS antenna phase center in a local coordinate system relative to the sensor. A second step concerns a 3d modeling of the UAV with embedded sensors through a photogrammetric acquisition. Processing this acquisition allows to determine the value of the lever-arm offset without using GCPs. Numéro de notice : C2016-001 Affiliation des auteurs : LASTIG LOEMI+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XL-3-W4-65-2016 Date de publication en ligne : 17/03/2016 En ligne : https://doi.org/10.5194/isprs-archives-XL-3-W4-65-2016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79911 Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration / Wei He in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)
[article]
Titre : Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration Type de document : Article/Communication Auteurs : Wei He, Auteur ; Hongyan Zhang, Auteur ; Liangpei Zhang, Auteur ; Huanfeng Shen, Auteur Année de publication : 2016 Article en page(s) : pp 178 - 188 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] factorisation
[Termes IGN] factorisation de matrice non-négative
[Termes IGN] image hyperspectrale
[Termes IGN] matrice
[Termes IGN] restauration d'imageRésumé : (Auteur) In this paper, we present a spatial spectral hyperspectral image (HSI) mixed-noise removal method named total variation (TV)-regularized low-rank matrix factorization (LRTV). In general, HSIs are not only assumed to lie in a low-rank subspace from the spectral perspective but also assumed to be piecewise smooth in the spatial dimension. The proposed method integrates the nuclear norm, TV regularization, and L1-norm together in a unified framework. The nuclear norm is used to exploit the spectral low-rank property, and the TV regularization is adopted to explore the spatial piecewise smooth structure of the HSI. At the same time, the sparse noise, which includes stripes, impulse noise, and dead pixels, is detected by the L1-norm regularization. To tradeoff the nuclear norm and TV regularization and to further remove the Gaussian noise of the HSI, we also restrict the rank of the clean image to be no larger than the number of endmembers. A number of experiments were conducted in both simulated and real data conditions to illustrate the performance of the proposed LRTV method for HSI restoration. Numéro de notice : A2016-071 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2452812 En ligne : https://doi.org/10.1109/TGRS.2015.2452812 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79834
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 1 (January 2016) . - pp 178 - 188[article]Exemplaires(1)
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