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A Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions / Shahryar K. Ahmad in IEEE Transactions on geoscience and remote sensing, vol 58 n° 4 (April 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 4 (April 2020) . - pp 2471 - 2480 Titre : A Fusion Approach for Water Area Classification Using Visible, Near Infrared and Synthetic Aperture Radar for South Asian Conditions Type de document : Article/Communication Auteurs : Shahryar K. Ahmad, Auteur ; Faisal Hossain, Auteur ; Hisham Eldardiry, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 2471 - 2480 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] Bangladesh [Termes descripteurs IGN] climat tropical [Termes descripteurs IGN] eau de surface [Termes descripteurs IGN] fusion d'images [Termes descripteurs IGN] image Landsat-8 [Termes descripteurs IGN] image PlanetScope [Termes descripteurs IGN] image proche infrarouge [Termes descripteurs IGN] image Sentinel-MSI [Termes descripteurs IGN] image Sentinel-SAR [Termes descripteurs IGN] plan d'eau [Termes descripteurs IGN] radar à antenne synthétique [Termes descripteurs IGN] reconnaissance de surface [Termes descripteurs IGN] surveillance hydrologique [Termes descripteurs IGN] télédétection spatiale [Termes descripteurs IGN] zone humide Résumé : (auteur) Consistent estimation of water surface area from remote sensing remains challenging in regions such as South Asia with vegetation, mountainous topography, and persistent monsoonal cloud cover. High-resolution optical imagery, which is often used for global inundation mapping, is highly impacted by clouds, while synthetic aperture radar (SAR) imagery is not impacted by clouds and is affected by both topographic layover and vegetation. Here, we compare and contrast inundation extent measurements from visible (Landsat-8 and Sentinel-2) and SAR (Sentinel-1) imagery. Each data type (wavelength) has complementary strengths and weaknesses which were gauged separately over selected water bodies in Bangladesh. High-resolution cloud-free PlanetScope imagery at 3-m resolution was used as a reference to check the accuracy of each technique and data type. Next, the optical and radar images were fused for a rule-based water area classification algorithm to derive the optimal decision for the water mask. Results indicate that the fusion approach can improve the overall accuracy by up to 3.8%, 18.2%, and 8.3% during the wet season over using the individual products of Landsat8, Sentinel-1, and Sentinel-2, respectively, at three sites, while providing increased observational frequency. The fusion-derived products resulted in overall accuracy ranging from 85.8% to 98.7% and Kappa coefficient varying from 0.61 to 0.83. The proposed SAR-visible fusion technique has potential for improving satellite-based surface water monitoring and storage changes, especially for smaller water bodies in humid tropical climate of South Asia. Numéro de notice : A2020-198 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2950705 date de publication en ligne : 19/11/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2950705 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94868 [article]

Matching of 3D surfaces and their intensities / Devrim Akca in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 2 (June 2007)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 62 n° 2 (June 2007) . - pp 112 - 121 Titre : Matching of 3D surfaces and their intensities Type de document : Article/Communication Auteurs : Devrim Akca, Auteur Année de publication : 2007 Article en page(s) : pp 112 - 121 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] appariement géométrique [Termes descripteurs IGN] attribut [Termes descripteurs IGN] données laser [Termes descripteurs IGN] intensité lumineuse [Termes descripteurs IGN] lasergrammétrie [Termes descripteurs IGN] méthode des moindres carrés [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] reconnaissance de surface [Termes descripteurs IGN] semis de points [Termes descripteurs IGN] superposition d'images Résumé : (Auteur) 3D surface matching would be an ill conditioned problem when the curvature of the object surface is either homogenous or isotropic, e.g. for plane or spherical types of objects. A reliable solution can only be achieved if supplementary information or functional constraints are introduced. In a previous paper, an algorithm for the least squares matching of overlapping 3D surfaces, which were digitized/sampled point by point using a laser scanner device, by the photogrammetric method or other techniques, was proposed [Gruen, A., and Akca, D., 2005. Least squares 3D surface and curve matching. ISPRS Journal of Photogrammetry and Remote Sensing 59 (3), 151–174.]. That method estimates the transformation parameters between two or more fully 3D surfaces, minimizing the Euclidean distances instead of z-differences between the surfaces by least squares. In this paper, an extension to the basic algorithm is given, which can simultaneously match surface geometry and its attribute information, e.g. intensity, colour, temperature, etc. under a combined estimation model. Three experimental results based on terrestrial laser scanner point clouds are presented. The experiments show that the basic algorithm can solve the surface matching problem provided that the object surface has at least the minimal information. If not, the laser scanner derived intensities are used as supplementary information to find a reliable solution. The method derives its mathematical strength from the least squares image matching concept and offers a high level of flexibility for many kinds of 3D surface correspondence problem. Copyright ISPRS Numéro de notice : A2007-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28622 [article]

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Mapping wildfire occurrence at regional scale / J. De La Riva in Remote sensing of environment, vol 92 n° 3 (30 August 2004)

Public [article]  inRemote sensing of environment > vol 92 n° 3 (30 August 2004) . - pp 363 - 369 Titre : Mapping wildfire occurrence at regional scale Type de document : Article/Communication Auteurs : J. De La Riva, Auteur ; F. Perez-Cabello, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 363 - 369 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] cartographie automatique [Termes descripteurs IGN] données maillées [Termes descripteurs IGN] estimation par noyau [Termes descripteurs IGN] incendie de forêt [Termes descripteurs IGN] interpolation [Termes descripteurs IGN] reconnaissance de surface Résumé : (Auteur) When assessing fire danger, interpolation of the dependent variable-historic fire occurrence-is required in order to statistically compare and analyze it with human factors, environmental parameters and census statistics. To confirm the compatibility between the distinct data types, occasionally, for this kind of spatial analysis, historical observations of the primary wildland fire (given as x and y coordinates) must be transformed either to continuous surfaces or to area data. The simple overlay approach converts single point observations to area data. However, this procedure assumes lack of spatial uncertainties that would otherwise result in serious errors caused by the positional inaccuracies of the original point observations. Here, we used kernel density interpolation to convert the original data on wildland fire ignition into an expression of areal units, defined by a raster grid and, subsequently, by the administrative borders of the municipalities in two study areas in Spain. By overlaying a normal bivariate probability density function (kernel) over each point observation, each ignition point was considered an uncertain point location rather than an exact one. Numéro de notice : A2004-385 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26912 [article]

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Recognition of fiducial surfaces in lidar surveys of coastal topography / J.C. Brock in Photogrammetric Engineering & Remote Sensing, PERS, vol 67 n° 11 (November 2001)

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 67 n° 11 (November 2001) . - pp 1245 - 1258 Titre : Recognition of fiducial surfaces in lidar surveys of coastal topography Type de document : Article/Communication Auteurs : J.C. Brock, Auteur ; A.H. Sallenger, Auteur ; W.B. Krabill, Auteur ; R.N. Swift, Auteur ; C.W. Wright, Auteur Année de publication : 2001 Article en page(s) : pp 1245 - 1258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] couverture (données géographiques) [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] Etats-Unis [Termes descripteurs IGN] géomorphologie [Termes descripteurs IGN] littoral [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] reconnaissance de surface [Termes descripteurs IGN] réflectance de surface [Termes descripteurs IGN] télémétrie laser aéroporté [Termes descripteurs IGN] trait de côte Résumé : (Auteur) A new method for the recognition and mapping of surfaces in coastal landscapes that provide accurate and low variability topographic measurements with respect to airborne lidar surveys is described and demonstrated in this paper. Such surfaces are herein termed "fiducial" because they can represent reference baseline morphology in studies of coastal change due to natural or anthropogenic causes. Nonfiducial surfaces may also be identified in each separate lidar survey to be used in a given geomorphic change analysis. Sites that are nonfiducial in either or both lidar surveys that bracket the time period under investigation may be excluded from consideration in subsequent calculations of survey-to-survey elevation differences to eliminate spurious indications of landscape change. This new analysis method, or lidar fiducial surface recognition (LFSR) algorithm, is intended to more fully enable the nonambiguous use of topographic lidar in a range of coastal investigations. The LFSR algorithm may be widely applied, because it is based solely on the information inherent in the USGS/NASA/NOAA airborne topographic lidar coverage that exists for most of the contiguous U.S. coastline. Numéro de notice : A2001-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21904 [article]

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