Study of Landscape Recognition based on Local Inhabitants Conducted in Historical City Kamakura:

Using 3-Dimensional Image about the Landscape that seems to be Kamakura where the Visualization Model

Abstract

This paper studies residents' landscape recognition by 3-dimensional visualized model on Kamakura historical area. 3-dimensional visualized model bases on 3D geographical feature model and human visual recognition. 3D geographical feature model is formed with GIS data by DEM(Digital Elevation Model). Human visual recognition is shown by a spread of light which applied the inverse-square damping. These two factors are combined as a 3-dimensional shadow picture to study residents' landscape recognition. Comparing explicate order and implicate order on the 3-D shading picture, discuss the recognition of residents regarding the region(town, mountains, sea, landmark in the city, etc.). And describes constitution and attribution of landscape recognitions and relationship with environmental recognition. The landscapes produced by these two data sets were then compared in order to descern any similarities by the conception of explicate order and implicate order.