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A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis / Y. Liu in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 461 - 475 Titre : A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; Q. Guo, Auteur ; M. Kelly, Auteur Année de publication : 2008 Article en page(s) : pp 461 - 475 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse d'image numérique [Termes IGN] classification automatique d'objets [Termes IGN] exhaustivité des données [Termes IGN] extraction du réseau routier [Termes IGN] image à haute résolution [Termes IGN] objet géographique zonal [Termes IGN] objet mobile [Termes IGN] prise en compte du contexte [Termes IGN] relation topologique [Termes IGN] segmentation d'image Résumé : (Auteur) Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis. Copyright ISPRS Numéro de notice : A2008-327 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.01.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29320 [article]

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Radiometric characterization of Ikonos multispectral imagery / M. Pagnutti in Remote sensing of environment, vol 88 n° 1 (30/11/2003)  

Public [article]  inRemote sensing of environment > vol 88 n° 1 (30/11/2003) . - pp 53 - 68 Titre : Radiometric characterization of Ikonos multispectral imagery Type de document : Article/Communication Auteurs : M. Pagnutti, Auteur ; M. Kelly, Auteur ; V. Zanoni, Auteur ; K. Thome, Auteur ; S. Schiller, Auteur Année de publication : 2003 Article en page(s) : pp 53 - 68 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] compensation [Termes IGN] étalonnage radiométrique [Termes IGN] fonction de transfert de modulation [Termes IGN] image à très haute résolution [Termes IGN] image Ikonos [Termes IGN] image multibande [Termes IGN] modèle de transfert radiatif Résumé : (Auteur) A radiometric characterization of Space Imaging's IKONOS 4-m multispectral imagery has been performed by a National Aeronautics and Space Administration (NASA) funded team from NASA Stennis Space Center, the University of Arizona Remote Sensing Group (U of ARSG), and South Dakota State University (SDSU). Both intrinsic radiometry and the effects of Space Imaging processing on radiometry were investigated. Relative radiometry was examined with uniform Antarctic and Saharan sites. Absolute radiometric calibration was performed using reflectance-based vicarious calibration methods on several uniform sites imaged by IKONOS coincident with Ground-based surface and atmospheric measurements. Ground-based data and the IKONOS spectral response function served as input to radiative transfer codes to generate a top-of-atmosphere (TOA) radiance estimate. Calibration coefficients derived from each vicarious calibration were combined to generate an IKONOS radiometric gain coefficient for each multispectral band assuming a linear response over the full dynamic range of the instrument. These calibration coefficients were made available to Space Imaging, which subsequently adopted them by updating its initial set of callibration coefficients. IKONOS imagery procured through the NASA Scientific Data Purchase was processed with or without a Modulation Transfer Function Compensation (MTFC) kernel. The radiometric effects of this kernel on various scene types were also investigated. Numéro de notice : A2003-331 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.07.008 En ligne : https://doi.org/10.1016/j.rse.2003.07.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22627 [article]

Landscape dynamics of the spread of sudden oak death / M. Kelly in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 10 (October 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 10 (October 2002) . - pp 1001 - 1009 Titre : Landscape dynamics of the spread of sudden oak death Type de document : Article/Communication Auteurs : M. Kelly, Auteur ; Ross K. Meentemeyer, Auteur Année de publication : 2002 Article en page(s) : pp 1001 - 1009 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse de groupement [Termes IGN] Californie (Etats-Unis) [Termes IGN] carte de la végétation [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] distribution spatiale [Termes IGN] dynamique spatiale [Termes IGN] Fagus (genre) [Termes IGN] forêt [Termes IGN] image ADAR [Termes IGN] image multibande [Termes IGN] indice d'humidité [Termes IGN] maladie phytosanitaire [Termes IGN] modélisation spatiale [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] simulation dynamique Résumé : (Auteur) Sudden Oak Death is caused by a newly discovered virulent pathogen (Phytophthora ramorum) that is killing thousands of native oak trees in California. We present a landscape-scale study on the spatio-temporal dynamics of oak mortality. Second-order spatial point-pattern analysis techniques (Ripley's K) were applied to the distribution of dead tree crowns (derived from high-resolution imagery) in Marin County, California to determine the existence and scale of mortality clustering in two years (2000 and 2001). Both years showed clustering patterns between 100 and 300 m. A classification tree model was developed to predict spatial patterns of risk for oak mortality based on several landscapescale variables. Proximity to forest edge was the most important explanatory factor, followed by topographic moisture index, proximity to trails, abundance of Umbellularia californica, and potential summer solar radiation. This research demonstrates the utility of integrating remotely sensed imagery analysis with geographic information systems and spatial modeling for understanding the dynamics of exotic species invasions. Numéro de notice : A2002-233 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/october/2002_oct_1001- [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22147 [article]