Petrogenesis of extension-related alkaline volcanism in Karaburhan (Sivrihisar–Eskisehir), NW Anatolia, Turkey     

Ender Sar&#x;fak&#x;olu  Hayrettin zen  Chris Hall 《Journal of Asian Earth Sciences》2009,35(6):502-515

Alkaline lavas were erupted as phonolites and trachytes around Karaburhan (Sivrihisar–Eskisehir, NW Anatolia) within the Izmir–Ankara–Erzincan suture zone. These volcanic rocks were emplaced as domes, close and parallel to the ophiolite thrust line. According to ⁴⁰Ar/³⁹Ar geochronological analyses of sanidine crystals from the phonolites, the age of the alkaline volcanics is 25 Ma (Late Oligocene–Early Miocene).The flow-textured phonolites are porphyritic and consist mainly of sanidine, clinopyroxene, and feldspathoid crystals. The clinopyroxenes show compositional zoning, with aegirine (Na_0.82–0.96Fe⁺³_0.68–0.83) rims and aegirine–augite cores (containing calcium, magnesium, and Fe⁺²). Some aegirine–augites are replaced with sodium-, calcium-, and magnesium-rich amphibole (hastingsite). Feldspathoid (hauyne) crystals enriched with elemental Na and Ca have been almost completely altered to zeolite and carbonate minerals. The fine-grained trachytes with a trachytic texture consist of feldspar (oligoclase and sanidine) phenocrystals and clinopyroxene microphenocrystals within a groundmass made up largely of alkali feldspar microlites.Although there are some differences in their element patterns, the phonolites and trachytes exhibit enrichment in LILEs (Sr, K, Rb, Ba, Th) and LREEs (La, Ce, Pr, Nd) and negative anomalies in Nb and Ta. These geochemical characteristics indicate a lithospheric mantle enriched by fluids extracted from the subduction component. In addition, the high ⁸⁷Sr/⁸⁶Sr (0.706358–0.708052) and low ¹⁴³Nd/¹⁴⁴Nd (0.512546–0.512646) isotope concentrations of the alkaline lavas reflect a mantle source that has undergone metasomatism by subduction-derived fluids. Petrogenetic modeling indicates that the alkaline lavas generated from the subduction-modified lithospheric mantle have undergone assimilation, fractional crystallization, and crustal contamination, acquiring high Pb, Ba, Rb, and Sr contents and Pb isotopic compositions during their ascent through the thickened crust in an extensional setting.  相似文献   

Automatic Building Extraction from Image and LiDAR Data with Active Contour Segmentation     

Zeynep Akbulut  Samed Özdemir  Hayrettin Acar  Fevzi Karsli 《Journal of the Indian Society of Remote Sensing》2018,46(12):2057-2068

Automatic building extraction is an important topic for many applications such as urban planning, disaster management, 3D building modeling and updating GIS databases. Its approaches mainly depend on two data sources: light detection and ranging (LiDAR) point cloud and aerial imagery both of which have advantages and disadvantages of their own. In this study, in order to benefit from the advantages of each data sources, LiDAR and image data combined together. And then, the building boundaries were extracted with the automated active contour algorithm implemented in MATLAB. Active contour algorithm uses initial contour positions to segment an object in the image. Initial contour positions were detected without user interaction by a series of image enhancements, band ratio and morphological operations. Four test areas with varying building and background levels of detail were selected from ISPRS’s benchmark Vaihingen and Istanbul datasets. Vegetation and shadows were removed from all the datasets by band ratio to improve segmentation quality. Subsequently, LiDAR point cloud data was converted to raster format and added to the aerial imagery as an extra band. Resulting merged image and initial contour positions were given to the active contour algorithm to extract building boundaries. In order to compare the contribution of LiDAR to the proposed method, the boundaries of the buildings were extracted from the input image before and after adding LiDAR data to the image as a layer. Finally extracted building boundaries were smoothed by the Awrangjeb (Int J Remote Sen 37(3): 551–579.  https://doi.org/10.1080/01431161.2015.1131868, 2016) boundary regularization algorithm. Correctness (Corr), completeness (Comp) and accuracy (Q) metrics were used to assess accuracy of segmented building boundaries by comparing extracted building boundaries with manually digitized building boundaries. Proposed approach shows the promising results with over 93% correctness, 92% completeness and 89% quality.  相似文献   

Automatic 3D Coordinate Extraction from High Resolution Digital Aerial Images     

Hayrettin Acar  Fevzi Karsli  Mustafa Dihkan 《Journal of the Indian Society of Remote Sensing》2017,45(2):209-216

Image matching has been widely used in various fields such as digital photogrammetry, remote sensing, image processing and computer vision. In this study, the speeded up robust feature extraction algorithm for automatic point extraction was applied to a pair of high resolution digital aerial stereo images. In contrast to other studies, the universal transverse mercator coordinates of randomly selected test points were computed automatically with the proposed approach and compared with the same points that were manually measured. As a result, the mean square differences for the UTM coordinates’ in the X, Y and Z axes were calculated as ±0.043, 0.030 and 0.153 m, respectively. It is proved that the proposed algorithm is successful in matching remotely sensed high-resolution images acquired with digital cameras. Moreover, the automatization of the basic tasks in image matching and the 3D coordinate acquisition were also achieved by the algorithm.  相似文献   

Automatic building extraction from very high-resolution image and LiDAR data with SVM algorithm     

Fevzi Karsli  Mustafa Dihkan  Hayrettin Acar  Ali Ozturk 《Arabian Journal of Geosciences》2016,9(14):635

Recent developments in the field of remote sensing have introduced new sensor technologies in usage of LiDAR, SAR, and high-resolution optical data. Classification performance is expected to increase through combining these various data sources. The purpose of this study is to develop a new approach for automatic extraction of buildings in urbanized and suburbanized areas. For this purpose, multi-feature extraction process including the spatial, spectral, and textural features were conducted on the very high spatial resolution multispectral aerial images and the LiDAR data set. SVM algorithm was trained by using this multi-feature data, and the classification was performed. After the classification of building and non-building, objects were extracted with high accuracy for the test areas. As a result, it has been proven that multi-features derived from combination of optical and LiDAR data can be successfully applied to solve the problem of automatic detection of buildings by using the proposed approach.  相似文献   

Earthquake effects on the Anatolian Motorway, Turkey     

Hayrettin Koral  J. Steven James  & Atilla Sayis 《Geology Today》2009,25(2):60-64

On 12 November 1999, the Anatolian earthquake in Turkey damaged a partially completed motorway viaduct. The viaduct, which is some 2.3 km long, passes over the Düzce Fault as the route starts its ascent into the Turkish plateau. The Düzce Fault is a northern offshoot of the main North Anatolian Fault (NAF) Zone, and cuts the viaduct at an acute angle of 15 degrees. Movements along the NAF have been identified as the prime cause of the earthquake. Alternatives to a viaduct crossing had been considered in the feasibility stage, but were ruled out because of the rugged landslide-influenced terrain and requirements for an even motorway ascent grade. The relative displacement of around 120 equally spaced piers identified the nature of the ground displacements and gave an indication as to the likely areas of foundation damage. This article examines the damage caused to the viaduct during the earthquake.  相似文献