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Titre : Satellite systems : design, modeling, simulation and analysis Type de document : Monographie Auteurs : Tien M. Nguyen, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 ISBN/ISSN/EAN : 978-1-83968-374-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Technologies spatiales
[Termes IGN] compression d'image
[Termes IGN] données GNSS
[Termes IGN] données spatiotemporelles
[Termes IGN] image à haute résolution
[Termes IGN] image optique
[Termes IGN] microsatellite
[Termes IGN] télédétection spatiale
[Termes IGN] température de surface de la mer
[Termes IGN] véhicule spatialIndex. décimale : 21.00 Technologies spatiales Résumé : (Editeur) This book provides a high-level overview of the current state of the art and future of satellite systems, satellite control systems, and satellite systems design. Chapters cover such topics as existing and future satellite systems, satellite communication subsystems, space control and Space Situation Awareness (SAA), machine learning methods with novel neural networks, data measurements in Global Navigation Satellite Systems, and much more. This volume is a practical reference for system engineers, design engineers, system analysts, and researchers in satellite engineering and advanced mathematical modeling fields. Note de contenu : 1. Communication Subsystems for Satellite Design / By Hung H. Nguyen and Peter S. Nguyen
2. Overview of Existing and Future Advanced Satellite Systems / By John Nguyen
3. Game Theoretic Training Enabled Deep Learning Solutions for Rapid Discovery of Satellite Behaviors / By Dan Shen, Carolyn Sheaff, Genshe Chen, Jingyang Lu, Mengqing Guo, Erik Blasch and Khanh Pham
4. Future Satellite System Architectures and Practical Design Issues: An Overview / By Tien M. Nguyen
5. System Designs of Microsatellites: A Review of Two Schools of Thoughts / By Triharjanto Robertus
6. Design of Intelligent and Open Avionics System Onboard / By Changqing Wu, Xiaodong Han and Yakun Wang
7. Dynamic Link from Liftoff to Final Orbital Insertion for a MEO Space Vehicle / By Jack K. Kreng and Gleason Q. Chen
8. Effective Algorithms for Detection Outliers and Cycle Slip Repair in GNSS Data Measurements / By Igor V. Bezmenov
9. Analysis of Spatiotemporal Variability of Surface Temperature of Okhotsk Sea and Adjacent Waters Using Satellite Data / By Dmitry Lozhkin
10. Compression of High-Resolution Satellite Images Using Optical Image Processing / By Anirban Patra, Arijit Saha, Debasish Chakraborty and Kallol BhattacharyaNuméro de notice : 26712 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.73789 Date de publication en ligne : 14/04/2021 En ligne : https://doi.org/10.5772/intechopen.73789 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99491 Semantic segmentation of sea ice type on Sentinel-1 SAR data using convolutional neural networks / Alissa Kouraeva (2021)
Titre : Semantic segmentation of sea ice type on Sentinel-1 SAR data using convolutional neural networks Type de document : Mémoire Auteurs : Alissa Kouraeva, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2021 Importance : 40 p. Format : 21 x 30 cm Note générale : Bibliographie
Rapport de projet pluridisciplinaire, cycle ING2Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] carte thématique
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] eau de mer
[Termes IGN] géovisualisation
[Termes IGN] glace de mer
[Termes IGN] image Aqua-AMSR
[Termes IGN] image Sentinel-SAR
[Termes IGN] matrice de confusion
[Termes IGN] restauration d'image
[Termes IGN] segmentation sémantiqueIndex. décimale : PROJET Mémoires : Rapports de projet - stage des ingénieurs de 2e année Résumé : (Auteur) La classification des types de glace marine est une composante essentielle de l’observation de la banquise dans les régions polaires. La présente étude cherche à améliorer l’automatisation de la construction de cartes de type de glace (ice charts), d’habitude manuellement réalisées par des experts, en utilisant des réseaux de neurones convolutifs (CNN). Les réseaux utilisent des données radar issues des missions Sentinel-1, et des données micro-ondes passif (AMSR2) en entrée. La cible de ces réseaux est composée de cartes de type de glace utilisées pour la navigation. Une carte de types de glace se présente sous la forme de multiples polygones. Elle montre les concentrations partielles, les stades de développement ainsi que les formes des trois types de glaces dominants. La glace est considérée comme uniforme au sein d’un polygone. Cependant, les cartes de type de glaces ne sont pas une fidèle représentation de la réalité, car les pixels au sein d’un polygone appartiennent à différentes classes. De plus, le niveau de détail d’un polygone est grossier et les experts peuvent faire des erreurs dans la classification du type de glace. Afin de minimiser ce type d’erreur, nous utilisons deux types d’encodage one-hot (binaire et continu) qui améliorent la représentation des types de glace et prennent en compte les incertitudes. Plusieurs configurations de réseaux de neurones sont testées lors de tests de sensibilité. Parmi elles, deux sont retenues car les plus performantes pour trois types de surfaces (eau, glace de première année, glace de plusieurs années) en termes de valeur de précision, de fonction de perte et de visualisation. Note de contenu :
Introduction
1. Data
1.1 Sentinel-1 SAR data
1.2 AMSR2 PMW data
1.3 Ice charts
2. Methods
2.1 Data preprocessing
2.2 Experiments with CNN architecture
3. Results
3.1 Evolution of validation loss
3.2 Evolution of accuracy
3.3 Optimal CNN architectures
3.4 Individual patches inferred from a test image
3.5 Maps of sea ice types inferred from test images
4. Discussion
4.1 Interpretation of SIGRID codes
4.2 Evaluation of CNN performance
4.3 Selection of the best network
4.4 Future work
5. Internship feedback
5.1 General feedback
5.2 Organisation during the internship
A Confusion Matrices
B FiguresNuméro de notice : 26608 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Mémoire de projet pluridisciplinaire Organisme de stage : Nansen Environmental and Remote Sensing Center NERSC Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98534 Documents numériques
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Titre : Slope engineering Type de document : Monographie Auteurs : Ali Ismet Kanlı, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 206 p. ISBN/ISSN/EAN : 978-1-83962-924-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse diachronique
[Termes IGN] bande L
[Termes IGN] cartographie des risques
[Termes IGN] compréhension de l'image
[Termes IGN] effondrement de terrain
[Termes IGN] image Landsat
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] pente
[Termes IGN] Pol-INSAR
[Termes IGN] prospection minérale
[Termes IGN] risque naturel
[Termes IGN] stabilité
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] tunnelRésumé : (Editeur) The field of slope engineering encompasses slope stability analysis and design, movement monitoring, and slope safety management and maintenance. Engineers in this field are concerned with landslides and other gravity-stimulated mass movements. Their job is to frequently evaluate existing and proposed slopes to assess their stability. As such, this book provides information on remote sensing in landslide detection, tunnel face stability, stability analysis and maintenance of cut slopes, design techniques in rock and soil engineering, statistical models for landslide risk mapping, slope stability analysis in open-pit mines, ecological engineering for slope stabilization, and asphalt-stabilized strengthening in open-pit coal mining. Note de contenu : 1. Design and Construction for Tunnel Face Stability: Theoretical and Modeling Approach / Adel Aissi, Abdelghani Brikat, Ali Ismet Kanlı, Aissa Benselhoub and Oussama Kessal
2. Geoysynthetic Reinforced Embankment Slopes / Akshay Kumar Jha and Madhav Madhira
3. Design Techniques in Rock and Soil Engineering / Zahid Ur Rehman, Sajjad Hussain, Noor Mohammad, Akhtar Gul and Bushra Nawaz
4. Three Dimensional Slope Stability Analysis of Open Pit Mine / Masagus Ahmad Azizi, Irfan Marwanza, Muhammad Kemal Ghifari and Afiat Anugrahadi
5. Asphalt Fill Strengthening of Free Slip Surfaces of Shale Slopes in Asphaltite Open Quarry: Stability Analysis of Free Sliding Surface for Wet Shale Slopes in Avgamasya Asphaltite Open Quarry No 2. Site / Yildırım İsmail Tosun
6. The Potential of Remote Sensing to Assess Conditioning Factors for Landslide Detection at a Regional Scale: The Case in Southeastern Colombia / Nixon Alexander Correa-Muñoz and Carol Andrea Murillo-Feo
7. Comparative Evaluation of Various Statistical Models and Its Accuracy for Landslide Risk Mapping: A Case Study on Part of Himalayan Region, India / C. Prakasam, Aravinth R., Varinder S. Kanwar and B. Nagarajan
8. Integrated Analysis Method for Stability Analysis and Maintenance of Cut-Slope in Urban / Mincheol Park, Heuisoo Han and Yoonhwa Jin
9. Ecological Engineering Measures for Ravine Slope Stabilization and Its Sustainable Productive Utilization / Gaurav Singh, Raj Kumar, Dinesh Jinger and Dinesh DhakshanamoorthyNuméro de notice : 26761 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.82508 Date de publication en ligne : 17/03/2021 En ligne : https://doi.org/10.5772/intechopen.82508 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99819
Titre : Soil erosion : current challenges and future perspectives in a changing world Type de document : Monographie Auteurs : António Vieira, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 152 p. ISBN/ISSN/EAN : 978-1-83962-300-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] acquisition d'images
[Termes IGN] Algérie
[Termes IGN] Bénin
[Termes IGN] changement d'occupation du sol
[Termes IGN] couvert végétal
[Termes IGN] érosion côtière
[Termes IGN] état du sol
[Termes IGN] Ethiopie
[Termes IGN] image captée par drone
[Termes IGN] image RVB
[Termes IGN] indice de végétation
[Termes IGN] Indonésie
[Termes IGN] modèle RUSLE
[Termes IGN] montagne
[Termes IGN] occupation du sol
[Termes IGN] orthoimage
[Termes IGN] photogrammétrie aérienne
[Termes IGN] Pix4D
[Termes IGN] protection des sols
[Termes IGN] risque naturel
[Termes IGN] Rwanda
[Termes IGN] système d'information géographiqueRésumé : (Editeur) Soil erosion is a major environmental issue with a worldwide impact and direct and indirect effects on soil productivity and consequently on human survival. Although a natural process, soil erosion has increased significantly due to human intervention, especially in the last centuries, through diverse activities such as intensive agriculture, overgrazing, urban sprawl, deforestation, and industrial and mining activities. Presently, soil erosion and degradation promoted by human action have reached extreme levels, necessitating urgent measures to promote soil conservation and rehabilitation. This book presents perspectives on soil erosion occurring in different parts of the world as well as some successful initiatives and strategies for soil conservation and rehabilitation. Note de contenu :
1. RGB Spectral Indices for the Analysis of Soil Protection by Vegetation Cover against Erosive Processes / Henry Antonio Pacheco Gil and Argenis de Jesús Montilla Pacheco
2. Spatial Estimation of Soil Erosion Risk Using RUSLE/GIS Techniques and Practices Conservation Suggested for Reducing Soil Erosion in Wadi Mina Catchment (Northwest, Algeria) / Ahmed Benchettouh, Sihem Jebari and Lakhdar Kouri
3. Remote Sensing and GIS-Based Soil Loss Estimation Using RUSLE in Bahir Dar Zuria District, Ethiopia / Nurhussen Ahmed Mohammed and Desale Kidane Asmamaw
4. Determination of the Most Priority Conservation Areas Based on Population Pressure and Erosion Hazard Levels in Lesti Sub-Watershed, Malang Regency, Indonesia / Andi Setyo Pambudi
5. The Impacts of Soil Degradation Effects on Phytodiversity and Vegetation Structure on Atacora Mountain Chain in Benin (West Africa) / Farris Okou, Achille Assogbadjo and Brice Augustin Sinsin
6. Erosion Control Success Stories and Challenges in the Context of Sustainable Landscape Management, Rwanda Experience / Jules Rutebuka
7. Biochar: A Sustainable Approach for Improving Soil Health and Environment / Shreya Das, Samanyita Mohanty, Gayatri Sahu, Mausami Rana and Kiran PilliNuméro de notice : 26759 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.91595 Date de publication en ligne : 12/05/2021 En ligne : https://doi.org/10.5772/intechopen.91595 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99775 Spectral variability in hyperspectral unmixing : Multiscale, tensor, and neural network-based approaches / Ricardo Augusto Borsoi (2021)
Titre : Spectral variability in hyperspectral unmixing : Multiscale, tensor, and neural network-based approaches Type de document : Thèse/HDR Auteurs : Ricardo Augusto Borsoi, Auteur ; Cédric Richard, Directeur de thèse ; José Carlos Moreira Bermudez, Directeur de thèse Editeur : Nice : Université Côte d'Azur Année de publication : 2021 Importance : 187 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse présentée en vue de l'obtention du grade de docteur science pour l’ingénieur de l’Université Côte d'AzurLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] image hyperspectrale
[Termes IGN] image multitemporelle
[Termes IGN] réseau antagoniste génératif
[Termes IGN] signature spectrale
[Termes IGN] tenseurIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The spectral signatures of the materials contained in hyperspectral images, also called endmembers (EMs), can be significantly affected by variations in atmospheric, illumination or environmental conditions typically occurring within an image. Traditional spectral unmixing (SU) algorithms neglect the spectral variability of the endmembers, what propagates significant mismodeling errors throughout the whole unmixing process and compromises the quality of the estimated abundances. Therefore, significant effort have been recently dedicated to mitigate the effects of spectral variability in SU. However, many challenges still remain in how to best explore a priori information about the problem in order to improve the quality, the robustness and the efficiency of SU algorithms that account for spectral variability. In this thesis, new strategies are developed to address spectral variability in SU. First, an (over)-segmentation-based multiscale regularization strategy is proposed to explore spatial information about the abundance maps more effectively. New algorithms are then proposed for both semi-supervised and blind SU, leading to improved abundance reconstruction performance at a small computational complexity. Afterwards, three new models are proposed to represent spectral variability of the EMs in SU, using parametric, tensor, and neural network-based representations for EM spectra at each image pixel. The parametric model introduces pixel-dependent scaling factors over a reference EM matrix to model arbitrary spectral variability, while the tensor-based representation allows one to exploit the high-dimensional nature of the data by means of its underlying low-rank structure. Generative neural networks (such as variational autoencoders or generative adversarial networks) finally allow one to model the low-dimensional manifold of the spectral signatures of the materials more effectively. The proposed models are used to devise three new blind SU algorithms, and to perform data augmentation in library-based SU. Finally, we provide a brief overview of work which extends the proposed strategies to new problems in SU and in hyperspectral image analysis. This includes the use of the multiscale abundance regularization in nonlinear SU, modeling spectral variability and accounting for sudden changes when performing SU and change detection of multitemporal hyperspectral images, and also accounting for spectral variability and changes in the multimodal (i.e., hyperspectral and multispectral) image fusion problem. Note de contenu : 1- Introduction
2- Origin of linear mixing model spectral variability in hyperspectral images
3- A ultiscale spatial regularization for fast unmixing with spectral librairies
4- A data dependent multiscale model for spectral unmixing with specral variability
5- Generalized linear mixing model accounting for endmember variability
6- Low-rank tensor modeling for spectral unmixing accounting for spectral variability
7- Deep generative endmembers modeling: An application to unsupervised spectral unmixing
8- Deep generative models for library augmentation in multiple endmember spectral mixture analysis
9- And now for something different...
10- ConclusionsNuméro de notice : 28487 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : thèse de Doctorat : Sciences pour l'Ingénieur : Côte d'Azur : 2021 Organisme de stage : Laboratoire J.-L. Lagrange, Observatoire de la Côte d’Azur DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-03253631/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99188 Steps-based tree crown delineation by analyzing local minima for counting the trees in very high resolution satellite imagery / Debasish Chakraborty in Geocarto international, vol 36 n° 1 ([01/01/2021])PermalinkStructure-from-motion-derived digital surface models from historical aerial photographs: A new 3D application for coastal dune monitoring / Edoardo Grottoli in Remote sensing, vol 13 n° 1 (January-1 2021)PermalinkStudy of an integrated pre-processing architecture for smart-imaging-systems, in the context of lowpower computer vision and embedded object detection / Luis Cubero Montealegre (2021)PermalinkSuivi de la déforestation à partir de données Sentinel-1 en contexte tropical / Lucile Auzeméry (2021)PermalinkSuivi des vignes par télédétection de proximité : le deep learning au service de l’agriculture de précision / Sami Beniaouf (2021)PermalinkSUMAC'21: Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents / Valérie Gouet-Brunet (2021)PermalinkSupplementary material for: Panoptic segmentation of satellite image time series with convolutional temporal attention networks / Vivien Sainte Fare Garnot (2021)PermalinkPermalinkTélédétection hyperspectrale pour l’identification et la caractérisation de minéraux industriels / Ronan Rialland (2021)PermalinkTélédétection et intégration de connaissances via la modélisation spatiale pour une cartographie plus cohérente des systèmes agricoles complexes / Arthur Crespin-Boucaud (2021)PermalinkTélédétection synchronisée hyperspectrale et LiDAR à retour d’onde complet : application au suivi des littoraux sableux de la région Pays-de-la-Loire / Giovanni Frati (2021)PermalinkTen years of digital documentation of the archaeological site of the monastery of Saint Hilarion in Tell Umm el-Amr, Gaza strip / Emmanuel Alby (2021)PermalinkThe Influence of camera calibration on nearshore bathymetry estimation from UAV Vvdeos / Gonzalo Simarro in Remote sensing, vol 13 n° 1 (January-1 2021)PermalinkThe potential of LiDAR and UAV-photogrammetric data analysis to interpret archaeological sites: A case study of Chun Castle in South-West England / Israa Kadhim in ISPRS International journal of geo-information, vol 10 n° 1 (January 2021)PermalinkTraitements et acquisitions de données lasergrammétriques, topométriques et topographiques / Théo Paille (2021)PermalinkPermalinkUnderwater object detection and reconstruction based on active single-pixel imaging and super-resolution convolutional neural network / Mengdi Li in Sensors, vol 21 n° 1 (January 2021)PermalinkUnifying remote sensing image retrieval and classification with robust fine-tuning / Dimitri Gominski (2021)PermalinkUnmixing-based Sentinel-2 downscaling for urban land cover mapping / Fei Xu in ISPRS Journal of photogrammetry and remote sensing, vol 171 (January 2021)PermalinkPermalink