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Low-frequency desert noise intelligent suppression in seismic data based on multiscale geometric analysis convolutional neural network / Yuxing Zhao in IEEE Transactions on geoscience and remote sensing, vol 58 n° 1 (January 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 1 (January 2020) . - pp 650 - 665 Titre : Low-frequency desert noise intelligent suppression in seismic data based on multiscale geometric analysis convolutional neural network Type de document : Article/Communication Auteurs : Yuxing Zhao, Auteur ; Yue Li, Auteur ; Baojun Yang, Auteur Année de publication : 2020 Article en page(s) : pp 650 - 665 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal [Termes descripteurs IGN] algorithme de filtrage [Termes descripteurs IGN] analyse multiéchelle [Termes descripteurs IGN] approche géométrique [Termes descripteurs IGN] classification par réseau neuronal convolutif [Termes descripteurs IGN] désert [Termes descripteurs IGN] enregistrement de données [Termes descripteurs IGN] filtrage du bruit [Termes descripteurs IGN] filtre passe-bande [Termes descripteurs IGN] interruption du signal [Termes descripteurs IGN] lutte contre le bruit [Termes descripteurs IGN] rapport signal sur bruit [Termes descripteurs IGN] reconstruction du signal [Termes descripteurs IGN] séisme Résumé : (auteur) Existing denoising algorithms often need to meet some premise assumptions and applicable conditions, such as the signal-to-noise ratio (SNR) cannot be too low, and the noise needs to obey a specific distribution (such as Gaussian distribution) and to satisfy some properties (such as stationarity). For the desert noise that shares the same frequency band with the effective signal and has complex characteristics (nonlinear, nonstationary, and non-Gaussian), it is difficult to find a universally applicable method. In response to this problem, a multiscale geometric analysis (MGA) convolutional neural network (CNN) is proposed in this article. One of the most important features of the CNN is that it can extract data-rich intrinsic information from the training set without relying on a priori assumption. By introducing the CNN into the MGA, a new kind of denoising method can be created, which can achieve good results even under a low SNR. This article takes the nonsubsampled contourlet transform as an example to create a denoising network named NC-CNN for high-efficiency and intelligent denoising of desert seismic data. The processing results of synthetic seismic records and field seismic records prove that NC-CNN can effectively suppress the low-frequency noise (random noise and surface wave), and the effective signal almost has no energy loss. In addition, the reconstruction ability of the missing signals is also an advantage of this method. Numéro de notice : A2020-076 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2938836 date de publication en ligne : 24/09/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2938836 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94608 [article]

FFT swept filtering: a bias-free method for processing fringe signals in absolute gravimeters / Petr Křen in Journal of geodesy, vol 93 n° 2 (February 2019)  

Public [article]  inJournal of geodesy > vol 93 n° 2 (February 2019) . - pp 219 - 227 Titre : FFT swept filtering: a bias-free method for processing fringe signals in absolute gravimeters Type de document : Article/Communication Auteurs : Petr Křen, Auteur ; Vojtech Pálinkáš, Auteur ; Pavel Mašika, Auteur ; Miloš Val’ko, Auteur Année de publication : 2019 Article en page(s) : pp 219 - 227 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes descripteurs IGN] distorsion du signal [Termes descripteurs IGN] erreur systématique [Termes descripteurs IGN] filtre passe-bande [Termes descripteurs IGN] gravimètre absolu [Termes descripteurs IGN] pesanteur terrestre [Termes descripteurs IGN] régression linéaire [Termes descripteurs IGN] transformation rapide de Fourier Résumé : (auteur) Absolute gravimeters, based on laser interferometry, are widely used for many applications in geoscience and metrology. Although currently the most accurate FG5 and FG5X gravimeters declare standard uncertainties at the level of 2−3μGal, their inherent systematic errors affect the gravity reference determined by international key comparisons based predominately on the use of FG5-type instruments. The measurement results for FG5-215 and FG5X-251 clearly showed that the measured g-values depend on the size of the fringe signal and that this effect might be approximated by a linear regression with a slope of up to 0.030μGal/mV. However, these empirical results do not enable one to identify the source of the effect or to determine a reasonable reference fringe level for correcting g-values in an absolute sense. Therefore, both gravimeters were equipped with new measuring systems (according to Křen et al. in Metrologia 53:27–40, 2016. https://doi.org/10.1088/0026-1394/53/1/27 applied for FG5), running in parallel with the original systems. The new systems use an analogue-to-digital converter HS5 to digitize the fringe signal and a new method of fringe signal analysis based on FFT swept bandpass filtering. We demonstrate that the source of the fringe size effect is connected to a distortion of the fringe signal due to the electronic components used in the FG5(X) gravimeters. To obtain a bias-free g-value, the FFT swept method should be applied for the determination of zero-crossings. A comparison of g-values obtained from the new and the original systems clearly shows that the original system might be biased by approximately 3−5μGal due to improperly distorted fringe signal processing. Numéro de notice : A2019-079 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-018-1154-y date de publication en ligne : 19/05/2018 En ligne : https://doi.org/10.1007/s00190-018-1154-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92197 [article]

UAV sensors for environmental monitoring / Felipe Gonzalez Toro (2018)  

Public Titre : UAV sensors for environmental monitoring Type de document : Monographie Auteurs : Felipe Gonzalez Toro, Editeur scientifique ; Antonios Tsourdos, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2018 Importance : 660 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03842-753-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] accident de la route [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] capteur aérien [Termes descripteurs IGN] capteur terrestre [Termes descripteurs IGN] détection de cible [Termes descripteurs IGN] filtre passe-bande [Termes descripteurs IGN] image captée par drone [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] image optique [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] instrument embarqué [Termes descripteurs IGN] photogrammétrie aérienne [Termes descripteurs IGN] prévention des risques [Termes descripteurs IGN] surveillance écologique [Termes descripteurs IGN] surveillance hydrologique Résumé : (éditeur) The rapid development and growth of UAVs as a remote sensing platform, as well as advances in the miniaturization of instrumentation and data systems, are catalyzing a renaissance in remote sensing in a variety of fields and disciplines from precision agriculture to ecology, atmospheric research, and disaster response. This Special Issue was open for submissions that highlight advances in the development and use of sensors deployed on UAVs. Topics include, but were not limited, to: - Optical, multi-spectral, hyperspectral, laser, and optical SAR technologies - Gas analyzers and sensors - Artificial intelligence and data mining based strategies from UAVs - UAV onboard data storage, transmission, and retrieval - Collaborative strategies and mechanisms to control multiple UAVs and sensor networks - UAV sensor applications: precision agriculture; pest detection, forestry, mammal species tracking search and rescue; target tracking, the monitoring of the atmosphere; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring, pollution monitoring, micro-climates and land use Note de contenu : Preface 1- UAV-based photogrammetry and integrated technologies for architectural applications—methodological strategies for the after-quake survey of vertical structures in Mantua (Italy) 2- Towards the development of a low cost airborne sensing system to monitor dust particles after blasting at open-pit mine sites 3- Multi-UAV routing for area coverage and remote sensing with minimum time 4- UAV deployment exercise for mapping purposes: evaluation of emergency response applications 5- Automated identification of river hydromorphological features using UAV high resolution aerial imagery 6- Autonomous aerial refueling ground test demonstration—a sensor-in-the-loop, non-tracking method 7- A new calibration method using low cost MEM IMUs to verify the performance of UAV-borne MMS payloads 8- Adaptive environmental source localization and tracking with unknown permittivity and pathloss coefficients 9- Vision-based detection and distance estimation of micro unmanned aerial vehicles 10- Unmanned aerial vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation 11- UAVs task and motion planning in the presence of obstacles and prioritized targets 12- Towards the development of a smart flying sensor: Illustration in the field of precision agriculture 13- Flight test result for the ground-based radio navigation system sensor with an unmanned air vehicle 12- Multisensor super resolution using directionally-adaptive regularization for UAV images 13- UAV control on the basis of 3D landmark bearing-only observations 14- Cooperative surveillance and pursuit using unmanned aerial vehicles and unattended ground sensors 15- A multispectral image creating method for a new airborne four-camera system with different bandpass filters 16- Vision and control for UAVs: A survey of general methods and of inexpensive platforms for infrastructure inspection 17- Feasibility of using synthetic aperture radar to aid UAV navigation 18- Towards an autonomous vision-based unmanned aerial system against wildlife poachers 19- Formation flight of multiple UAVs via onboard sensor information sharing 20- Mini-UAV based sensory system for measuring environmental variables in greenhouses 21- Mini-UAV based sensory system for measuring environmental variables in greenhouses 22- Dual-stack single-radio communication architecture for UAV acting as a mobile node to collect data in WSNs 23- Development and evaluation of a UAV-photogrammetry system for precise 3D environmental modeling 24- Prototyping a GNSS-based passiveRadar for UAVs: An instrument to classify the waterContent feature of lands 25- Enabling UAV navigation with sensor and environmental uncertainty in cluttered and GPS-denied environments 26- UAV-based estimation of carbon exports from heterogeneous soil landscapes—a case study from the carboZALF experimental area 27- Wavelength-adaptive dehazing using histogram merging-based classification for UAV images 28- A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications Numéro de notice : 25930 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03842-754-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96199

Filter design for GOCE gravity gradients / Zs. Polgár Polgár in Geocarto international, vol 28 n° 1-2 (February - May 2013)  

Public [article]  inGeocarto international > vol 28 n° 1-2 (February - May 2013) . - pp 28 - 45 Titre : Filter design for GOCE gravity gradients Type de document : Article/Communication Auteurs : Zs. Polgár Polgár, Auteur ; L. Sujbertb, Auteur ; L. Földváry, Auteur ; P. Asbóth, Auteur ; J. Ádám, Auteur Année de publication : 2013 Article en page(s) : pp 28 - 45 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes descripteurs IGN] données GOCE [Termes descripteurs IGN] filtrage du rayonnement [Termes descripteurs IGN] filtre passe-bande [Termes descripteurs IGN] gradient de gravitation [Termes descripteurs IGN] levé gravimétrique Résumé : (Auteur) The GOCE satellite observes gravity gradients with unprecedented accuracy and resolution. The GOCE observations are reliable within a well-defined measurement bandwidth. In this study, different finite and infinite impulse response filters have been designed to obtain the demanded pass. Exhaustive time and frequency domain investigations prove that the proposed infinite impulse response filter can be a real competitor of the existing solution of the filtering problem. Numéro de notice : A2013-275 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.687401 date de publication en ligne : 24/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.687401 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32413 [article]

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Interference suppression algorithm for SAR based on time-frequency transform / S. Zhang in IEEE Transactions on geoscience and remote sensing, vol 49 n° 10 Tome 1 (October 2011)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 49 n° 10 Tome 1 (October 2011) . - pp 3765 - 3779 Titre : Interference suppression algorithm for SAR based on time-frequency transform Type de document : Article/Communication Auteurs : S. Zhang, Auteur ; X. Xing, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 3765 - 3779 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes descripteurs IGN] filtre passe-bande [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] interférence [Termes descripteurs IGN] transformation de Fourier [Termes descripteurs IGN] transformation en ondelettes Résumé : (Auteur) The goal of this paper is to suppress the narrowband interference (NBI) and wideband interference (WBI) in synthetic aperture radar (SAR) by using a nonparametric method. The method is based on the analysis of time-frequency characteristic of NBI and WBI from which an interference suppression filter combined with the constant false alarm rate algorithm is designed. In this approach, the short-time Fourier transform (STFT) is used to estimate the instantaneous frequency of the SAR echo data with interference. In the STFT domain, the instantaneous frequency spectrum is represented by wavelet, and then, the designed filter filters the corresponding wavelet coefficients of the interference components. In addition, this algorithm is robust to time-varying NBI and WBI. The performance of the proposed approach is evaluated by the simulated and measured data, and the effectiveness is demonstrated. Numéro de notice : A2011-428 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2164409 date de publication en ligne : 15/09/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2164409 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31207 [article]

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An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data / T. Miura in Remote sensing of environment, vol 100 n° 2 (30 January 2006)

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Microstrip filters for RF/microwave applications / J.S. Hong (2001)

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Modex / Stéphane Mallat (1998)

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