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An accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data / Wei Zhuang in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)
[article]
Titre : An accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data Type de document : Article/Communication Auteurs : Wei Zhuang, Auteur ; Giorgos Mountrakis, Auteur Année de publication : 2014 Article en page(s) : pp 81 – 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] empreinte
[Termes IGN] filtrage numérique d'image
[Termes IGN] forêt
[Termes IGN] forme d'onde
[Termes IGN] groupe
[Termes IGN] identification automatique
[Termes IGN] onde lidar
[Termes IGN] surface du sol
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] traitement de donnéesRésumé : (Auteur) Large footprint waveform LiDAR sensors have been widely used for numerous airborne studies. Ground peak identification in a large footprint waveform is a significant bottleneck in exploring full usage of the waveform datasets. In the current study, an accurate and computationally efficient algorithm was developed for ground peak identification, called Filtering and Clustering Algorithm (FICA). The method was evaluated on Land, Vegetation, and Ice Sensor (LVIS) waveform datasets acquired over Central NY. FICA incorporates a set of multi-scale second derivative filters and a k-means clustering algorithm in order to avoid detecting false ground peaks. FICA was tested in five different land cover types (deciduous trees, coniferous trees, shrub, grass and developed area) and showed more accurate results when compared to existing algorithms. More specifically, compared with Gaussian decomposition, the RMSE ground peak identification by FICA was 2.82 m (5.29 m for GD) in deciduous plots, 3.25 m (4.57 m for GD) in coniferous plots, 2.63 m (2.83 m for GD) in shrub plots, 0.82 m (0.93 m for GD) in grass plots, and 0.70 m (0.51 m for GD) in plots of developed areas. FICA performance was also relatively consistent under various slope and canopy coverage (CC) conditions. In addition, FICA showed better computational efficiency compared to existing methods. FICA’s major computational and accuracy advantage is a result of the adopted multi-scale signal processing procedures that concentrate on local portions of the signal as opposed to the Gaussian decomposition that uses a curve-fitting strategy applied in the entire signal. The FICA algorithm is a good candidate for large-scale implementation on future space-borne waveform LiDAR sensors. Numéro de notice : A2014-474 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.06.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.06.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74051
in ISPRS Journal of photogrammetry and remote sensing > vol 95 (September 2014) . - pp 81 – 92[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014091 RAB Revue Centre de documentation En réserve L003 Disponible An enhanced strategy for GNSS data processing of massive networks / H. Chen in Journal of geodesy, vol 88 n° 9 (September 2014)
[article]
Titre : An enhanced strategy for GNSS data processing of massive networks Type de document : Article/Communication Auteurs : H. Chen, Auteur ; W. Jiang, Auteur ; Maorong Ge, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 857-867 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] longueur d'onde
[Termes IGN] phase GNSS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] résolution d'ambiguïtéRésumé : (Auteur)Although the computational burden of global navigation satellite systems (GNSS) data processing is nowadays already a big challenge, especially for huge networks, integrated processing of denser networks with data of multi-GNSS and multi-frequency is desired in the expectation of more accurate and reliable products. Based on the concept of carrier range, in this study, the precise point positioning with integer ambiguity resolution is engaged to obtain the integer ambiguities for converting carrier phases to carrier ranges. With such carrier ranges and pseudo-ranges, rigorous integrated processing is realized computational efficiently for the orbit and clock estimation using massive networks. The strategy is validated in terms of computational efficiency and product quality using data of the IGS network with about 460 stations. The experimental validation shows that the computation time of the new strategy increases gradually with the number of stations. It takes about 14 min for precise orbit and clock determination with 460 stations, while the current strategy needs about 82 min. The overlapping orbit RMS is reduced from 27.6 mm with 100 stations to 24.8 mm using the proposed strategy, and the RMS could be further reduced to 23.2 mm by including all 460 stations. Therefore, the new strategy could be applied to massive networks of multi-GNSS and multi-frequency receivers and possibly to achieve GNSS data products of higher quality. Numéro de notice : A2013-546 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-014-0727-7 Date de publication en ligne : 05/06/2014 En ligne : https://doi.org/10.1007/s00190-014-0727-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74028
in Journal of geodesy > vol 88 n° 9 (September 2014) . - pp 857-867[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 266-2014091 SL Revue Centre de documentation Revues en salle Disponible Classification of submerged aquatic vegetation in Black River using hyperspectral image analysis / Roshan Pande-Chhetri in Geomatica, vol 68 n° 3 (September 2014)
[article]
Titre : Classification of submerged aquatic vegetation in Black River using hyperspectral image analysis Type de document : Article/Communication Auteurs : Roshan Pande-Chhetri, Auteur ; Amr Abd-Elrahman, Auteur ; Charles Jacoby, Auteur Année de publication : 2014 Article en page(s) : pp 169 - 182 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classificateur paramétrique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par réseau neuronal
[Termes IGN] image hyperspectrale
[Termes IGN] macrophyte
[Termes IGN] profondeur
[Termes IGN] réflexion (rayonnement)
[Termes IGN] surface de l'eauRésumé : (Auteur) Le contrôle de la végétation aquatique est un élément important de la gestion des ressources en eau en raison des services écologiques rendus par ces habitats. L'imagerie hyperspectrale dense sur le plan spectral peut être un outil efficace pour cartographier et classifier les communautés macrophytes. L'identification de la végétation submergée dans les régions aquatiques est compliquée par les variations des propriétés optiques des constituants de l'eau, de la géométrie des capteurs d'eau et d'ensoleillement, de la profondeur de l'eau et de la complexité spectrale/structurale des plantes. Plusieurs études ont tenté de détecter la végétation aquatique dans les eaux côtières; mais peu d’études ont ciblé des rivières peu profondes aux eaux noires teintées contaminées par des matières organiques dissoutes du groupe chromophore (CDOM). La présente étude examine les méthodes pour analyser l'imagerie hyperspectrale aéroportée et pour détecter et classifier la végétation aquatique dans un système fluvial d'eaux noires. Les images ont été normalisées afin de tenir compte de la réflexion de la surface de l'eau et de la profondeur changeante de l'eau avant leur analyse par le classificateur à vraisemblance maximale (ML) et trois autres classificateurs non paramétriques: le réseau de neurones formels (ANN), la machine à vecteurs de support (SVM) et un appareil de cartographie angulaire spectral (SAM). L'analyse de l’évaluation de la qualité a indiqué une amélioration générale de la détection et de la classification lorsque les classificateurs non paramétriques étaient appliqués aux images normalisées et à profondeur constante. Une précision maximale de classification d'environ 69% a été atteinte lorsque le classificateur ANN était appliqué aux images normalisées et des précisions maximales de détection de 93% et de 92% ont été atteintes lorsque les classificateurs SAM et SVM étaient appliqués aux images à profondeur constante, respectivement. Numéro de notice : A2014-621 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/cig2014-302 En ligne : https://doi.org/10.5623/cig2014-302 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74999
in Geomatica > vol 68 n° 3 (September 2014) . - pp 169 - 182[article]Image matching using SIFT features and relaxation labeling technique—A constraint initializing method for dense stereo matching / Jyoti Joglekar in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)
[article]
Titre : Image matching using SIFT features and relaxation labeling technique—A constraint initializing method for dense stereo matching Type de document : Article/Communication Auteurs : Jyoti Joglekar, Auteur ; Shirish S. Gedam, Auteur ; B.K. Mohan, Auteur Année de publication : 2014 Article en page(s) : pp 5643 - 5652 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] appariement dense
[Termes IGN] processus stochastique
[Termes IGN] SIFT (algorithme)
[Termes IGN] vision stéréoscopiqueRésumé : (Auteur) A probabilistic neural-network-based feature-matching algorithm for a stereo image pair is presented in this paper, which will be useful as a constraint initializing method for further dense matching technique. In this approach, scale-invariant feature transform (SIFT) features are used to detect interest points in a stereo image pair. The descriptor which is associated with each keypoint is based on the histogram of the gradient magnitude and direction of gradients. These descriptors are the preliminary input for the matching algorithm. Using disparity range computed by visual inspection, the search area can be restricted for a given stereo image pair. Reduced search area improves the computation speed. Initial probabilities of matches are assigned to the keypoints which are considered as probable matches from the selected search area by Bayesian reasoning. The probabilities of all such matches are improved iteratively using relaxation labeling technique. Neighboring probable matches are exploited to improve the probability of best match using consistency measures. Confidence measures considering the neighborhood, unicity, and symmetry are some validation techniques which are built into the technique presented here for finding accurate matches. The algorithm is found to be effective in matching SIFT features detected in a stereo image pair with greater accuracy, and these accurate correspondences can be used in finding the fundamental matrix which encodes the epipolar geometry between the given stereo image pair. This fundamental matrix can then be used as a constraint for finding inliers that are used in matching methods for deriving dense disparity map. Numéro de notice : A2014-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2291685 En ligne : https://doi.org/10.1109/TGRS.2013.2291685 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73981
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 9 Tome 1 (September 2014) . - pp 5643 - 5652[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014091A RAB Revue Centre de documentation En réserve L003 Disponible A novel rapid SAR simulator based on equivalent scatterers for three-dimensional forest canopies / Tao Zeng in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)
[article]
Titre : A novel rapid SAR simulator based on equivalent scatterers for three-dimensional forest canopies Type de document : Article/Communication Auteurs : Tao Zeng, Auteur ; Cheng Hu, Auteur ; Hanwei Sun, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 5243 - 5255 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] canopée
[Termes IGN] image radar
[Termes IGN] modèle de diffusion du rayonnement
[Termes IGN] rétrodiffusion
[Termes IGN] simulation 3D
[Termes IGN] traitement du signalRésumé : (Auteur) Synthetic aperture radar (SAR) simulation of 3-D forest canopies is a powerful tool for studying the interaction between radar and forest, for testing new applications, and for devising inversion algorithms of forest structures. SAR raw-signal generation is frequently used in point-target simulation but is rarely used in 3-D forest simulation. The existing simulators directly produce SAR images based on an impulse response function (IRF) without involving raw-signal generation and various nonideal factors. In this paper, a novel simulator to produce SAR images of 3-D forest canopies is proposed. It incorporates a SAR raw-signal generation process taking account of various nonideal factors such as trajectory deviation of radar platforms and complexity of natural environments, which is more faithful to realistic remote sensing systems. Furthermore, an approach to speed up the raw-signal generation is put forward based on the equivalent scattering model consisting of a few virtual scatterers with specially calculated positions and backscattering matrices. Thus, the raw signals received from the entire forest canopy can be equivalent to those from virtual scatterers in the case of tiny slant-range errors. The error sensitivity of equivalent conditions is analyzed, and the optimum selection of equivalent parameters is derived considering the compromise between precision and efficiency. The results of simulation and forest height inversion demonstrate the feasibility and potential utilities of the proposed simulator. Numéro de notice : A2014-438 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2287691 En ligne : https://doi.org/10.1109/TGRS.2013.2287691 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73975
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 9 Tome 1 (September 2014) . - pp 5243 - 5255[article]Réservation
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