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Titre : UAV sensors for environmental monitoring Type de document : Monographie Auteurs : Felipe Gonzalez Toro, Éditeur scientifique ; Antonios Tsourdos, Éditeur 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 IGN] accident de la route
[Termes IGN] biodiversité
[Termes IGN] capteur aérien
[Termes IGN] capteur terrestre
[Termes IGN] détection de cible
[Termes IGN] filtre passe-bande
[Termes IGN] image captée par drone
[Termes IGN] image hyperspectrale
[Termes IGN] image optique
[Termes IGN] image radar moirée
[Termes IGN] instrument embarqué
[Termes IGN] photogrammétrie aérienne
[Termes IGN] prévention des risques
[Termes IGN] surveillance écologique
[Termes IGN] surveillance hydrologiqueRésumé : (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 useNote 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 ApplicationsNuméro 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 Evaluation of pan-sharpening methods for spatial and spectral quality / Jagalingam Pushparaj in Applied geomatics, vol 9 n° 1 (March 2017)
[article]
Titre : Evaluation of pan-sharpening methods for spatial and spectral quality Type de document : Article/Communication Auteurs : Jagalingam Pushparaj, Auteur ; Arkal Vittal Hegde, Auteur Année de publication : 2017 Article en page(s) : pp 1 - 12 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme de Gram-Schmidt
[Termes IGN] analyse en composantes principales
[Termes IGN] classification Spectral angle mapper
[Termes IGN] évaluation
[Termes IGN] filtre passe-haut
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Quickbird
[Termes IGN] ondelette
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] qualité géométrique (image)
[Termes IGN] qualité radiométrique (image)
[Termes IGN] transformation de Brovey
[Termes IGN] transformation intensité-teinte-saturationRésumé : (auteur) Many pan-sharpening methods have been proposed to fuse the high spectral and low spatial resolution of multispectral (MS) image with the high spatial resolution of panchromatic (PAN) image to produce a multispectral image with improved spatial resolution. In this study, the effectiveness of pan-sharpening methods such as principal component analysis (PCA), brovey transform (BT), modified intensity hue saturation (M-IHS), multiplicative, wavelet-intensity-hue-saturation (W-IHS), wavelet principal component analysis (W-PCA), hyperspectral colour space (HCS), high-pass filter (HPF), gram-schmidt (GS), subtractive resolution merge (SRM), Fuze Go and Ehlers was assessed and compared by fusing the PAN and MS imagery of Quickbird-2. The qualities of the pan-sharpening methods were evaluated by both visual and quantitative analyses with respect to spatial and spectral fidelity. In quantitative analysis, the spectral indices such as spectral angle mapper (SAM), relative dimensionless global error in synthesis (ERGAS), structural similarity index method (SSIM), relative average spectral error (RASE), correlation coefficient (CC) and universal image quality index (Q) were used. The spatial indices such as spatial correlation coefficient (SCC), gradient and image entropy (E) were used. The result of both analyses revealed that the Ehlers and Fuze Go methods performed better than the other methods. The Ehlers method was superior by retaining the colour information, and Fuze Go best enhanced the spatial details in the fused image. Numéro de notice : A2017-357 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s12518-016-0179-2 Date de publication en ligne : 13/12/2016 En ligne : http://doi.org/10.1007/s12518-016-0179-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85763
in Applied geomatics > vol 9 n° 1 (March 2017) . - pp 1 - 12[article]Discriminative low-rank Gabor filtering for spectral–spatial hyperspectral image classification / Lin He in IEEE Transactions on geoscience and remote sensing, vol 55 n° 3 (March 2017)
[article]
Titre : Discriminative low-rank Gabor filtering for spectral–spatial hyperspectral image classification Type de document : Article/Communication Auteurs : Lin He, Auteur ; Jun Li, Auteur ; Antonio J. Plaza, Auteur ; Yuanqing Li, Auteur Année de publication : 2017 Article en page(s) : pp 1381 - 1395 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification automatique
[Termes IGN] filtre de Gabor
[Termes IGN] filtre passe-bas
[Termes IGN] image hyperspectrale
[Termes IGN] performanceRésumé : (Auteur) Spectral-spatial classification of remotely sensed hyperspectral images has attracted a lot of attention in recent years. Although Gabor filtering has been used for feature extraction from hyperspectral images, its capacity to extract relevant information from both the spectral and the spatial domains of the image has not been fully explored yet. In this paper, we present a new discriminative low-rank Gabor filtering (DLRGF) method for spectral-spatial hyperspectral image classification. A main innovation of the proposed approach is that our implementation is accomplished by decomposing the standard 3-D spectral-spatial Gabor filter into eight subfilters, which correspond to different combinations of low-pass and bandpass single-rank filters. Then, we show that only one of the subfilters (i.e., the one that performs low-pass spatial filtering and bandpass spectral filtering) is actually appropriate to extract suitable features based on the characteristics of hyperspectral images. This allows us to perform spectral-spatial classification in a highly discriminative and computationally efficient way, by significantly decreasing the computational complexity (from cubic to linear order) compared with the 3-D spectral-spatial Gabor filter. In order to theoretically prove the discriminative ability of the selected subfilter, we derive an overall classification risk bound to evaluate the discriminating abilities of the features provided by the different subfilters. Our experimental results, conducted using different hyperspectral images, indicate that the proposed DLRGF method exhibits significant improvements in terms of classification accuracy and computational performance when compared with the 3-D spectral-spatial Gabor filter and other state-of-the-art spectral-spatial classification methods. Numéro de notice : A2017-154 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2623742 En ligne : http://dx.doi.org/10.1109/TGRS.2016.2623742 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84689
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 3 (March 2017) . - pp 1381 - 1395[article]Ultra short-term prediction of pole coordinates via combination of empirical mode decomposition and neural networks / Yu Lei in Artificial satellites, vol 51 n° 4 (December 2016)
[article]
Titre : Ultra short-term prediction of pole coordinates via combination of empirical mode decomposition and neural networks Type de document : Article/Communication Auteurs : Yu Lei, Auteur ; Danning Zhao, Auteur ; Hongbing Cai, Auteur Année de publication : 2016 Article en page(s) : pp 149 – 161 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] filtre passe-bas
[Termes IGN] fonction de base radiale
[Termes IGN] mouvement du pôle
[Termes IGN] oscillation
[Termes IGN] prévision à court terme
[Termes IGN] réseau neuronal artificiel
[Termes IGN] terme de ChandlerRésumé : (auteur) It was shown in the previous study that the increase of pole coordinates prediction error for about 100 days in the future is mostly caused by irregular short period oscillations. In this paper, the ultra short-term prediction of pole coordinates is studied for 10 days in the future by means of combination of empirical mode decomposition (EMD) and neural networks (NN), denoted EMD-NN. In the algorithm, EMD is employed as a low pass filter for eliminating high frequency signals from observed pole coordinates data. Then the annual and Chandler wobbles are removed a priori from pole coordinates data with high frequency signals eliminated. Finally, the radial basis function (RBF) networks are used to model and predict the residuals. The prediction performance of the EMD-NN approach is compared with that of the NN-only solution and the prediction methods and techniques involved in the Earth orientation parameters prediction comparison campaign (EOP PCC). The results show that the prediction accuracy of the EMD-NN algorithm is better than that of the NN-only solution and is also comparable with that of the other existing prediction method and techniques. Numéro de notice : A2016-977 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1515/arsa-2016-0013 En ligne : https://doi.org/10.1515/arsa-2016-0013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83688
in Artificial satellites > vol 51 n° 4 (December 2016) . - pp 149 – 161[article]Satellite images analysis for shadow detection and building height estimation / Gregoris Liasis in ISPRS Journal of photogrammetry and remote sensing, vol 119 (September 2016)
[article]
Titre : Satellite images analysis for shadow detection and building height estimation Type de document : Article/Communication Auteurs : Gregoris Liasis, Auteur ; Stavros Stavrou, Auteur Année de publication : 2016 Article en page(s) : pp 437 - 450 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] contour
[Termes IGN] délimitation
[Termes IGN] détection d'ombre
[Termes IGN] filtre spectral
[Termes IGN] hauteur du bâti
[Termes IGN] image satellite
[Termes IGN] intensité lumineuse
[Termes IGN] ombre
[Termes IGN] scène urbaine
[Termes IGN] valeur radiométriqueRésumé : (Auteur) Satellite images can provide valuable information about the presented urban landscape scenes to remote sensing and telecommunication applications. Obtaining information from satellite images is difficult since all the objects and their surroundings are presented with feature complexity. The shadows cast by buildings in urban scenes can be processed and used for estimating building heights. Thus, a robust and accurate building shadow detection process is important. Region-based active contour models can be used for satellite image segmentation. However, spectral heterogeneity that usually exists in satellite images and the feature similarity representing the shadow and several non-shadow regions makes building shadow detection challenging. In this work, a new automated method for delineating building shadows is proposed. Initially, spectral and spatial features of the satellite image are utilized for designing a custom filter to enhance shadows and reduce intensity heterogeneity. An effective iterative procedure using intensity differences is developed for tuning and subsequently selecting the most appropriate filter settings, able to highlight the building shadows. The response of the filter is then used for automatically estimating the radiometric property of the shadows. The customized filter and the radiometric feature are utilized to form an optimized active contour model where the contours are biased to delineate shadow regions. Post-processing morphological operations are also developed and applied for removing misleading artefacts. Finally, building heights are approximated using shadow length and the predefined or estimated solar elevation angle. Qualitative and quantitative measures are used for evaluating the performance of the proposed method for both shadow detection and building height estimation. Numéro de notice : A2016-792 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.07.006 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.07.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82509
in ISPRS Journal of photogrammetry and remote sensing > vol 119 (September 2016) . - pp 437 - 450[article]Projective texturing uncertain geometry: silhouette-aware box-filtered blending using integral radial images / Mathieu Brédif (2016)PermalinkEvaluation of Lidar-derived DEMs through terrain analysis and field / Cody P. Gillin in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 5 (May 2015)PermalinkHyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkImproved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal / Mingsheng Liao in ISPRS Journal of photogrammetry and remote sensing, vol 80 (June 2013)PermalinkFilter design for GOCE gravity gradients / Zs. Polgár Polgár in Geocarto international, vol 28 n° 1-2 (February - May 2013)PermalinkThe spherical Slepian basis as a means to obtain spectral consistency between mean sea level and the geoid / D. Slobbe in Journal of geodesy, vol 86 n° 8 (August 2012)PermalinkInterference 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)PermalinkOptimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkMultispectral images fusion by a joint multidirectional and multiresolution representation / M. Lillo-Saaverda in International Journal of Remote Sensing IJRS, vol 28 n°17-18 (September 2007)PermalinkAirborne LaCoste & Romberg gravimetry: a space domain approach / M. Abbasi in Journal of geodesy, vol 81 n° 4 (April 2007)Permalink