000 02855nab a2200385 c 4500
001 vtls000674132
003 RU-ToGU
005 20210922103857.0
007 cr |
008 200124|2019 ne s a eng dd
024 7 _a10.1016/j.precamres.2018.05.020
_2doi
035 _ato000674132
040 _aRU-ToGU
_brus
_cRU-ToGU
245 1 0 _aSemi-automatic extraction and mapping of dyke swarms based on multi-resolution remote sensing images: Applied to the dykes in the Kuluketage region in the northeastern Tarim Block
_cN. Ni, N. Chen, R. E. Ernst [et al.]
504 _aБиблиогр.: с. 271-272
520 3 _aThe geometry and spatial distribution of mafic dyke swarms provide information about geodynamics. However, mapping large-scale dyke swarms manually is a time-consuming and expensive process. Here we present an efficient method to map dyke swarms semi-automatically by using multi-resolution remote sensing images. This method is applied in the Kuluketage region in the northeastern Tarim Block, northwest China where mafic dykes of multiple trends are widely exposed and with the dominant NW trend being of probable Neoproterozoic age. The tracing of dykes, including their orientation, length, thickness, density, and distribution is done by integrating 30-m multispectral Landsat 8 and 2-m panchromatic CORONA KH-4B imagery. The Gramm-Schmidt Spectral Sharpening approach is used to generate color composite and fusion images with 2-m resolution. The Canny edge detector and Hough transform are used to detect dyke edges. Combining the detection of dyke edges with ArcGIS™, the dyke orientation, length, density, thickness, and exposed area are measured. The accuracy of the semi-automatic method exceeds 75% in comparison with manual mapping of the dykes in the Kuluketage region.
653 _aкартографирование
653 _aдайковые рои
653 _aдистанционное зондирование
653 _aТаримский блок
653 _aмафические дайки
653 _aLandsat-8, спутник дистанционного зондирования
653 _aCORONA KH-4B, спутник дистанционного зондирования
655 4 _aстатьи в журналах
_9745982
700 1 _aChen, Ninghua
_9480226
700 1 _aErnst, Richard E.
_9218658
700 1 _aYang, Shufeng
_9500285
700 1 _aChen, Jianyu
_9500286
700 1 _aNi, Nina
_9480225
773 0 _tPrecambrian research
_d2019
_gVol. 329. P. 262-272
_x0301-9268
852 4 _aRU-ToGU
856 4 _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000674132
908 _aстатья
999 _c463022