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Auteur Ugur Avdan |
Documents disponibles écrits par cet auteur (3)
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Comparison of tree-based classification algorithms in mapping burned forest areas / Dilek Kucuk Matci in Geodetski vestnik, vol 64 n° 3 (September - November 2020)
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[article]
Titre : Comparison of tree-based classification algorithms in mapping burned forest areas Type de document : Article/Communication Auteurs : Dilek Kucuk Matci, Auteur ; Resul Comert, Auteur ; Ugur Avdan, Auteur Année de publication : 2020 Article en page(s) : 13 p. Note générale : bibliographie Langues : Anglais (eng) Slovène (slv) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse d'image orientée objet
[Termes IGN] bassin méditerranéen
[Termes IGN] carte forestière
[Termes IGN] classification dirigée
[Termes IGN] classification par arbre de décision
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] image Landsat-8
[Termes IGN] incendie de forêt
[Termes IGN] matrice de confusion
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] Rotation Forest classification
[Termes IGN] Turquie
[Termes IGN] zone sinistréeRésumé : (auteur) In this study, we compared the performance of tree-based classification algorithms – Random Forest (RF), Rotation Forest (RotF), J48, The Alternating Decision Tree (ADTree), Forest by Penalising Attributes (Forest PA), Logical Analysis of Data Algorithm (LADTree) and Functional Trees (FT) – for mapping burned forest areas within the Mediterranean region in Turkey. Object-based image analysis (OBIA) was performed to pan-sharpened the Landsat 8 images. Four different burned areas, namely Kumluca, Adrasan, Anamur, and Alanya, were used as study areas. Kumluca, Anamur, and Alanya regions were used as training areas, and Adrasan region was used as the test area. Obtained results were evaluated with confusion matrix and statistically significant analysis. According to the results, FT and RotF produced more accurate results than other algorithms. Also, the results obtained with these algorithms are statistically significant. Numéro de notice : A2020-626 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.15292/geodetski-vestnik.2020.03.348-360 Date de publication en ligne : 23/08/2020 En ligne : https://doi.org/10.15292/geodetski-vestnik.2020.03.348-360 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96087
in Geodetski vestnik > vol 64 n° 3 (September - November 2020) . - 13 p.[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 139-2020031 RAB Revue Centre de documentation En réserve L003 Disponible Object-based water body extraction model using Sentinel-2 satellite imagery / Gordana Kaplan in European journal of remote sensing, vol 50 n° 1 (2017)
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Titre : Object-based water body extraction model using Sentinel-2 satellite imagery Type de document : Article/Communication Auteurs : Gordana Kaplan, Auteur ; Ugur Avdan, Auteur Année de publication : 2017 Article en page(s) : pp 143 - 150 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image orientée objet
[Termes IGN] extraction automatique
[Termes IGN] image multibande
[Termes IGN] image Sentinel-MSI
[Termes IGN] lac
[Termes IGN] Macédoine
[Termes IGN] Normalized Difference Water Index
[Termes IGN] segmentation d'imageRésumé : (auteur) Water body extraction is an important part of water resource management and has been the topic of a number of research works related to remote sensing for over two decades. Extracting water bodies from satellite images with a pixel-based method or indexes cannot eliminate other objects that have a low albedo, such as shadows and built-up areas. Since their spectral differences cannot be separated, in this paper a method that combines a pixel-based index and object-based method has been used on a Sentinel-2 satellite image with a resolution of 10 m. The method uses image segmentation on a multispectral image containing 13 bands. It also uses indexes used for extracting water bodies, such as the Normalized Difference Water Index (NDWI). Two study areas with different characteristics have been chosen, one mountainous and one urban region, both of them located in Macedonia. Using object-based techniques and pixel-based indexes, such as NDWI, the results from the NDWI have been improved by a kappa value of more than 0.5. Numéro de notice : A2017-719 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/22797254.2017.1297540 En ligne : https://doi.org/10.1080/22797254.2017.1297540 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88375
in European journal of remote sensing > vol 50 n° 1 (2017) . - pp 143 - 150[article]Determination of characteristic site period and preliminary ground response analysis according to resonance by using GIS / M. Tun in GIS Geo-Informations-Systeme, vol 2004 n° 9 (September 2004)
[article]
Titre : Determination of characteristic site period and preliminary ground response analysis according to resonance by using GIS Type de document : Article/Communication Auteurs : M. Tun, Auteur ; Ugur Avdan, Auteur ; M. Altan, Auteur Année de publication : 2004 Article en page(s) : pp 31 - 36 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] bâtiment
[Termes IGN] milieu urbain
[Termes IGN] résonance
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] système d'information géographique
[Termes IGN] Turquie
[Termes IGN] vibrationRésumé : (Auteur) Ground response analyses are mostly used for the development of design response spectra in the modern earthquake engineering. After 1999 Marmara Earthquake, the damages were mostly related with unavailable soil conditions and this unavailability were analysed according to liquefaction analysis. In this study, granular soil which the Eskisehir urban area is located has been studied according to vibration period. Eskisehir is the city, which would be influenced negatively by the earthquake due to unavailable soil conditions and uncontrolled constructions. Five different districts of the Eskisehir municipality were included in this studied area. Characteristic site period (Ts), which is defined as the period of vibration corresponding to the fundamental frequency has been obtained for each 32 test points. GIS which is a powerful tool and technique for especially earth science, has been used for the preparation of characteristic site period map (Tf) of the studied area. After that, the number of story of each building has been determined by in-situ studies in the studied districts. Numéro de notice : A2004-405 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26932
in GIS Geo-Informations-Systeme > vol 2004 n° 9 (September 2004) . - pp 31 - 36[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 058-04091 RAB Revue Centre de documentation En réserve L003 Disponible