Centre de documentation
scientifique

Dépouillements

Aerial image mosaicking with aid of vector roads / D. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1141 - 1150 Titre : Aerial image mosaicking with aid of vector roads Type de document : Article/Communication Auteurs : D. Wang, Auteur ; Y. Wan, Auteur ; J. Xiao, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1141 - 1150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement de réseaux [Termes IGN] chemin le moins coûteux, algorithme du [Termes IGN] données vectorielles [Termes IGN] image aérienne [Termes IGN] mosaïquage d'images [Termes IGN] réseau routier [Termes IGN] squelettisation Résumé : (Auteur) This paper proposes a novel approach for using vector roads to aid in the generation of seamline networks for aerial image mosaicking. A representative seamline is extracted as follows. First, the straight skeleton of the overlapping area of adjacent images is extracted. Second, vector roads in the overlapping regions are overlaid with the extracted skeleton to build a weighted graph G (V, E). Dijkstra's algorithm is applied to find the lowest-cost path that connects two intersections of the polygons of two adjacent images. The lowest-cost path is considered as a seamline candidate. Finally, the seamline candidate is refined by considering its surrounding pixels. The refined seamline is employed as the final seamline. The resultant seamlines commonly follow the centerlines of roads as much as possible, and the mosaic image appears more seamless. Moreover, the vector-based approach is typically more efficient than the existing raster-based approaches: the vector-based approach is nearly ten times faster than a raster-based representative. Numéro de notice : A2012-582 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1141 En ligne : https://doi.org/10.14358/PERS.78.11.1141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32028 [article]

Mapping nighttime flood from MODIS observations using support vector machines / R. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1151 - 1161 Titre : Mapping nighttime flood from MODIS observations using support vector machines Type de document : Article/Communication Auteurs : R. Zhang, Auteur ; D. Sun, Auteur ; Y. Yu, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1151 - 1161 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] détection de changement [Termes IGN] image Terra-MODIS [Termes IGN] inondation [Termes IGN] nuit [Termes IGN] température de luminance [Termes IGN] zone sinistrée Résumé : (Auteur) This work proposes a nighttime flood mapping method for Moderate Resolution Imaging Spectroradiometer (modis) data. Brightness temperatures at 3.9 um, and BT11 um channels (BT 3.9, and BT 11, respectively) and differences of brightness temperatures between 3.9 um and 4.0 um, and between 11 um and 12 um (BT 3.9-BT 4.0, and BT 11- BT 12, respectively) are used to identify nighttime water pixels by a support vector machines (SVM) classifier. Prominent flood locations are detected by a change detection process using a reference water-land map. To test the effectiveness of the proposed method, two flood cases caused by heavy rains were chosen as trial scenarios. The nighttime mapping results are validated with the flood maps, which are obtained from the visual interpretation based on the daytime flood identification results. The experimental results indicate that the proposed method is effective for the delineation of inundated areas with standing water during the nighttime. Numéro de notice : A2012-583 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1151 En ligne : https://doi.org/10.14358/PERS.78.11.1151 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32029 [article]

Integrating Landsat-7 imagery with physics-based models for quantitative mapping of coastal waters near river discharges / Nima Pahlevan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1163 - 1174 Titre : Integrating Landsat-7 imagery with physics-based models for quantitative mapping of coastal waters near river discharges Type de document : Article/Communication Auteurs : Nima Pahlevan, Auteur ; A. Garrett, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1163 - 1174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] eaux côtières [Termes IGN] hydrodynamique [Termes IGN] image Landsat [Termes IGN] image Landsat-ETM+ [Termes IGN] matière organique [Termes IGN] modèle hydrographique [Termes IGN] sédiment Résumé : (Auteur) Remote sensing has traditionally been used to retrieve water constituents by establishing a relationship between in situ measured quantities and image-derived products. Motivated by the dramatically improved potential of the Landsat Data Continuity Mission (ldcm), this paper describes a different approach for water constituent retrieval where both thermal and visible spectral bands of the Enhanced Thematic Mapper Plus (ETM+) instrument on board Landsat-7 are utilized. In this effort, Landsat data is integrated with a 3D hydrodynamic model to obtain profiles of particles and dissolved matter in the near shore zone in the vicinity of two river discharges. The procedure is based upon perform-ing many hydrodynamic simulations by adjusting input environmental/physical variables and generating Look-Up-Tables (LUTs). The best match, obtained using optimization, demonstrated an average root-mean-squared-error (RMSE) of 0.68 percent, i.e., 0.0068 reflectance units, calculated over the two river plumes. It is concluded that calibrating a physics-based model using the Landsat-7 imagery can provide a more lucid insight into the dynamics of spatially non-uniform waters. Numéro de notice : A2012-584 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1163 En ligne : https://doi.org/10.14358/PERS.78.11.1163 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32030 [article]

Automatic generation of 2.5D terrain models without occluding routes of interest / Hao Deng in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1175 - 1185 Titre : Automatic generation of 2.5D terrain models without occluding routes of interest Type de document : Article/Communication Auteurs : Hao Deng, Auteur ; L. Zhang, Auteur ; J. Ma, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1175 - 1185 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] données localisées 2,5D [Termes IGN] modèle numérique de terrain [Termes IGN] montagne [Termes IGN] réseau routier [Termes IGN] visibilité Résumé : (Auteur) When a car drives in mountainous regions, the views based on conventional perspective projection often suffer from features of interest being occluded. We propose a method for generating disocclusion views in mountainous regions. The terrain is segmented to build a potential set of occluders; and then an optimized viewpoint is determined, and elevations are rearranged. To obtain a smooth deformed terrain, a smooth displacement function is introduced to deform the level-of-detail terrain models. Compared with previous methods, the merit of this study lies in automatically generating disocclusion views with temporal coherence while keeping the details of the deformed terrain the same as the original terrain. Experiments performed on the 4098 pixel x 4098 pixel mountainous terrain landscape prove that the disocclusion views can achieve 42 to 58 frames/second. Moreover, the shapes of the features of interest on the driving route without occlusion and the spatial configuration of geographical landmarks in its neighborhood can be easily recognized. Numéro de notice : A2012-585 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1175 En ligne : https://doi.org/10.14358/PERS.78.11.1175 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32031 [article]

A method for detecting windows from mobile lidar data / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1129 - 1140 Titre : A method for detecting windows from mobile lidar data Type de document : Article/Communication Auteurs : R. Wang, Auteur ; F. Ferrie, Auteur ; J. Macfarlane, Auteur Année de publication : 2012 Article en page(s) : pp 1129 - 1140 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] détection d'objet [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] façade [Termes IGN] fenêtre (bâtiment) [Termes IGN] semis de points Résumé : (Auteur) Mobile lidar (light detection and ranging) data collection is a rapidly emerging technology in which multiple georeferenced sensors (e.g., laser scanners, cameras) are mounted on a moving vehicle to collect real world data. The photorealistic modeling of large-scale real world scenes such as urban environments has become increasingly interesting to the vision, graphics, and photogrammetry communities. In this paper, we present an automatic approach to window and facade detection from mobile lidar data. The proposed method combines bottom-up with top-down strategies to extract facade planes from noisy lidar point clouds. The window detection is achieved through a two-step approach: potential window point detection and window localization. The facade pattern is automatically inferred to enhance the robustness of the window detection. Experimental results on six datasets result in 71.2 percent and 88.9 percent in the first two datasets, 100 percent for the rest four datasets in terms of completeness rate, and 100 percent correctness rate for all the tested datasets, which demonstrate the effectiveness of the proposed solution for planar facades with rectilinear windows. The application potential includes generation of building facade models with street-level details and texture synthesis for producing realistic occlusion-free facade texture. Numéro de notice : A2012-586 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1129 En ligne : https://doi.org/10.14358/PERS.78.11.1129 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32032 [article]