The paper frames the image concept in literary studies into pragmatics and cognizance science and the image "moon" into relevance theory and relevance translation theory, and investigates the different psychological and cultural connotations of the "moon" in China and the in the West.
Thinking synthetically, the process reflects the integration of stage and level of concept learning, and the unification of process and structure, includes the relationship of concept imagery and definition, connections and network, and application and system.
The data used in this paper were based on the landscape map derived from 1994 TM imagery.
Based on the rapid advancement of synthetic aperture radar (SAR) imagery technology, information theory of fully polarimetric scattering and applications in polarimetric SAR remote sensing are developed.
The results testified to prominent impairments of the parameters of spatial analysis and synthesis and of the formation level of object imagery, suggesting functional weakness of the posterior associative (TPO) cortical areas of both hemispheres.
From the Clementine UVVIS imagery of the lunar surface, the abundance of agglutinates in the lunar regolith and their composition in terms of FeO and Al2O3 oxides have been predicted.
Application of parallel computing methods to the processing of sea-surface radar imagery
TEM images revealed that a carbon encapsulated core/shell structure was formed in the composites, which could ensure good dispersion of carbon nanoparticles within the PMMA matrix.
The shape, particle size of about 100-850 nm and hole size of about 150-600 nm of ZnS hollow nanospheres with holes were shown by SEM and TEM images.
UV-vis absorption spectrum and atomic force microscope (AFM) images indicated that the change of concentration and post-treatment temperature may adjust the band-gap of CdS to obtain stable, homogeneous and compact films.
The experiment of edge detection is made for the images of nature scenery, human body and accumulative raw material, whose result is compared with the one of classical algorithms and showing the robustness of the proposed method.
Flexible matching, which aims to find the accurate correspondence map between the key points of two images, is performed by combining the local similarities and the geometric relations together using the highest confidence first method.