作者: Athos Agapiou , Dimitrios Alexakis , Apostolos Sarris , Diofantos Hadjimitsis
DOI: 10.3390/RS5126560
关键词: Advanced Spaceborne Thermal Emission and Reflection Radiometer 、 Component (UML) 、 Cartesian coordinate system 、 Remote sensing 、 Satellite imagery 、 Vegetation 、 Spectral signature 、 Geology 、 Remote sensing (archaeology) 、 VNIR 、 Archaeology
摘要: This paper aims to introduce new linear orthogonal equations for different satellite data derived from QuickBird; IKONOS; WorldView-2; GeoEye-1, ASTER; Landsat 4 TM and 7 ETM+ sensors, in order enhance the exposure of crop marks. The latest are significant value detection buried archaeological features using remote sensing techniques. proposed transformations, re-projects initial VNIR bands image, into a 3D coordinate system where first component is so called “crop mark”, second “vegetation” third “soil”. For purpose this study, large ground spectral signature database has been explored analyzed separately each image. narrow band reflectance re-calculated Relative Spectral Response filters sensor, then PCA analysis was carried out. Subsequently, three components were rotated Finally, all transformations have successfully evaluated existing sites some interesting marks exposed.