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Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ Image / Dong Lu in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 11 (November 2008) . - pp 1343 - 1350 Titre : Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ Image Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; H. Ge, Auteur ; A. Xu, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1343 - 1350 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] correction d'image [Termes IGN] image Landsat-ETM+ [Termes IGN] montagne [Termes IGN] pente [Termes IGN] réflectance Résumé : (Auteur) The topographic effect on land surface reflectance is an important factor affecting quantitative analysis of remotely sensed data in mountainous regions. Different approaches have been developed to reduce topographical effects. Of the many methods, the Minnaert correction method is most frequently used for topographic correction, but a single global Minnaert value used in previous research cannot effectively reduce topographic effects on the remotely sensed data, especially in the areas with steep slopes. This paper explores the method to develop a pixel-based Minnaert coefficient image based on the established relationship between Minnaert coefficients and topographic slopes. A texture measure based on homogeneity is used to evaluate the topographic correction result. This study has demonstrated promising in reducing topographic effects on the Landsat ETM+ image with the pixel-based Minnaert correction method. Copyright ASPRS Numéro de notice : A2008-408 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.11.1343 En ligne : https://doi.org/10.14358/PERS.74.11.1343 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29400 [article]

A Polygonal approach for automation in extraction of serial modular roofs / Y. Avrahami in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 11 (November 2008) . - pp 1365 - 1378 Titre : A Polygonal approach for automation in extraction of serial modular roofs Type de document : Article/Communication Auteurs : Y. Avrahami, Auteur ; Y. Raizman, Auteur ; Y. Doytsher, Auteur Année de publication : 2008 Article en page(s) : pp 1365 - 1378 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] base de connaissances [Termes IGN] classificateur paramétrique [Termes IGN] extraction automatique [Termes IGN] extraction de traits caractéristiques [Termes IGN] polygone [Termes IGN] reconstruction 3D du bâti [Termes IGN] toit [Termes IGN] visualisation 3D Résumé : (Auteur) This paper presents a novel approach for automation in roof extraction from two solved aerial images. The approach assumes that roofs are composed of several spatial polygons, and that they can be obtained by extracting all or even only some of them if the model is known. In view of this assumption, innovative algorithms for semi-automatic spatial polygon extraction were developed. These algorithms are based on a 2D approach to solving the 3D reality. Based on these algorithms, an interactive and semi-automatic modelbased approach for automation in roof extraction was developed. The approach is composed of two phases: manual (interactive) and automatic. In the manual (interactive) phase, the operator needs to choose an Expanded Parameterized Model (EPM) from a knowledge base and select one pre-prepared Interactive Option for Extraction (IOE) of the roof. Then, the operator needs to point according to the guidelines of the chosen option in the left image space. In the automatic phase, the selected spatial polygons are extracted, the parameters of the selected model are calculated and the roof is reconstructed. The approach was examined and the results we obtained had standard accuracy. It appears that the approach can be implemented on many types of roofs and under diverse photographic conditions. In this paper, the algorithms, the experiments and the results are detailed. Copyright ASPRS Numéro de notice : A2008-409 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.11.1365 En ligne : https://doi.org/10.14358/PERS.74.11.1365 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29401 [article]

Using a binary space partitioning tree for reconstructing polyhedral building models from airborne Lidar data / Gunho Sohn in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 11 (November 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 11 (November 2008) . - pp 1425 - 1438 Titre : Using a binary space partitioning tree for reconstructing polyhedral building models from airborne Lidar data Type de document : Article/Communication Auteurs : Gunho Sohn, Auteur ; X. Huang, Auteur ; V. Tao, Auteur Année de publication : 2008 Article en page(s) : pp 1425 - 1438 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbre-B [Termes IGN] données lidar [Termes IGN] extraction de traits caractéristiques [Termes IGN] modélisation 3D [Termes IGN] polyèdre [Termes IGN] reconstruction 3D du bâti [Termes IGN] toit Résumé : (Auteur) During the past several years, point density covering topographic objects with airborne lidar (Light Detection And Ranging) technology has been greatly improved. This achievement provides an improved ability for reconstructing more complicated building roof structures; more specifically, those comprising various model primitives horizontally and/or vertically. However, the technology for automatically reconstructing such a complicated structure is thus far poorly understood and is currently based on employing a limited number of pre-specified building primitives. This paper addresses this limitation by introducing a new technique of modeling 3D building objects using a data-driven approach whereby densely collecting low-level modeling cues from lidar data are used in the modeling process. The core of the proposed method is to globally reconstruct geometric topology between adjacent linear features by adopting a BSP (Binary Space Partitioning) tree. The proposed algorithm consists of four steps: (a) detecting individual buildings from lidar data, (b) clustering laser points by height and planar similarity, (c) extracting rectilinear lines, and (d) planar partitioning and merging for the generation of polyhedral models. This paper demonstrates the efficacy of the algorithm for creating complex models of building rooftops in 3D space from airborne lidar data. Copyright ASPRS Numéro de notice : A2008-410 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.11.1425 En ligne : https://doi.org/10.14358/PERS.74.11.1425 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29402 [article]