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Real world objects in geobia through the exploitation of existing digital cartography and image segmentation / G. Smith in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 2 (February 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 2 (February 2010) . - pp 163 - 171 Titre : Real world objects in geobia through the exploitation of existing digital cartography and image segmentation Type de document : Article/Communication Auteurs : G. Smith, Auteur ; D. Morton, Auteur Année de publication : 2010 Article en page(s) : pp 163 - 171 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse d'image orientée objet [Termes IGN] cartographie numérique [Termes IGN] objet géographique [Termes IGN] processus [Termes IGN] réalité de terrain [Termes IGN] segmentation d'image Résumé : (Auteur) Descriptions of Geographic Object-Based Image Analysis (geobia) often identify image segmentation as the initial step. This may be reasonable in some cases, but segmentation might also be considered a "black art," due to its image dependence and the limited amount control available to users. The resulting segments reflect the spectral structure of the image rather than the physical structure of the landscape with no one-to-one relationship between real world objects and segments. Geographic analysis often begins in the context of existing mapping. In regions with high quality large scale cartography, an obvious question is why is this information not used in the GEOBIA process? It is therefore proposed that geobia be redefined to use the best existing real world feature datasets as the starting point before segmentation is considered. Such an approach would increase opportunities for integration, improve map update initiatives, and widen uptake by end user communities. Copyright ASPRS Numéro de notice : A2010-050 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.2.151 En ligne : https://doi.org/10.14358/PERS.76.2.151 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30246 [article]

Multitemporal repeat-pass SAR interferometry of boreal forests / J. Askne in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 7 (July 2003) . - pp 1540 - 1550 Titre : Multitemporal repeat-pass SAR interferometry of boreal forests Type de document : Article/Communication Auteurs : J. Askne, Auteur ; M. Santoro, Auteur ; G. Smith, Auteur ; J.E.S. Fransson, Auteur Année de publication : 2003 Article en page(s) : pp 1540 - 1550 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] données multitemporelles [Termes IGN] erreur moyenne quadratique [Termes IGN] ERS [Termes IGN] estimation statistique [Termes IGN] forêt boréale [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] JERS [Termes IGN] masse végétale [Termes IGN] modélisation [Termes IGN] rétrodiffusion [Termes IGN] tronc Résumé : (Auteur) Multitemporal European Remote Sensing satellites 1 and 2 (ERS1/2) and the Japanese Earth Resources Satellite 1 (JERS1) interferometric synthetic aperture radar (InSAR) data from a boreal forest test site in Sweden (stem volumes up to 335 m/ha, equivalent to aboveground dry biomass of ~200 tons/ha) are studied in order to estimate stem volume using coherence and backscatter. The changes of JERS1 backscatter and ERS1/2 tandem coherence between images are consistent over the area studied, in contrast to ERS1/2 backscatter. A modelbased regression analysis has been performed, and the use of the model for inversion is discussed and compared with other approaches found in the literature. The model parameters are discussed in terms of their relation to wind speed and temperature. Results from the different acquisitions are combined to improve the stem volume estimation. The accuracy in terms of rms error (RMSE) for standwise estimated stem volume is 310 m/ha using ERS1/2 coherence. Using backscatter and coherence from JERS1 we obtain an RMSE of 33035 m/ha. Finally, conditions for accurate retrieval of stem volume using multitemporal InSAR observations are discussed. We conclude that G and Lband repeatpass InSAR can provide stem volume estimates in boreal forests with accuracies similar to those of standard in situ measurements. Numéro de notice : A2003-209 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.846878 En ligne : https://doi.org/10.1109/TGRS.2005.846878 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22505 [article]

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