scholarly journals Perceptual Discrimination of Basic Object Features Is Not Facilitated When Priming Stimuli Are Prevented From Reaching Awareness by Means of Visual Masking

Author(s):  
Hayden J. Peel ◽  
Irene Sperandio ◽  
Robin Laycock ◽  
Philippe A. Chouinard
1969 ◽  
Vol 4 (2) ◽  
pp. 255-259 ◽  
Author(s):  
J.W. Adkins ◽  
L.G. Fehmi ◽  
D.B. Lindsley

1986 ◽  
Vol 31 (6) ◽  
pp. 439-441
Author(s):  
Bruce Bridgeman
Keyword(s):  

2015 ◽  
Vol 47 (1) ◽  
pp. 1
Author(s):  
Linlin YAN ◽  
Zhe WANG ◽  
Yuanyuan LI ◽  
Ming ZHONG ◽  
Yuhao SUN ◽  
...  

2018 ◽  
Vol 933 (3) ◽  
pp. 52-62
Author(s):  
V.S. Tikunov ◽  
I.A. Rylskiy ◽  
S.B. Lukatzkiy

Innovative methods of aerial surveys changed approaches to information provision of projecting dramatically in last years. Nowadays there are several methods pretending to be the most efficient for collecting geospatial data intended for projecting – airborne laser scanning (LIDAR) data, RGB aerial imagery (forming 3D pointclouds) and orthoimages. Thermal imagery is one of the additional methods that can be used for projecting. LIDAR data is precise, it allows us to measure relief even under the vegetation, or to collect laser re-flections from wires, metal constructions and poles. Precision and completeness of the DEM, produced from LIDAR data, allows to define relief microforms. Airborne imagery (visual spectrum) is very widespread and can be easily depicted. Thermal images are more strange and less widespread, they use different way of image forming, and spectral features of ob-jects can vary in specific ways. Either way, the additional spectral band can be useful for achieving additional spatial data and different object features, it can minimize field works. Here different aspects of thermal imagery are described in comparison with RGB (visual) images, LIDAR data and GIS layers. The attempt to estimate the feasibility of thermal imag-es for new data extraction is made.


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