计算机科学
可视化
光栅图形
覆盖
投影(关系代数)
地形图(神经解剖学)
专题地图
地理信息系统
过程(计算)
计算机图形学(图像)
计算机视觉
数据挖掘
遥感
地图学
地理
心理学
算法
后顶叶皮质
认知心理学
程序设计语言
操作系统
作者
Hanhan Maulana,Toshiki Sato,Hideaki Kanai
标识
DOI:10.1007/978-3-031-06015-1_22
摘要
The purpose of this Study is to visualize Agriculture land suitability maps using Spatial Augmented Reality (SAR). This research has three main stages. The first stage collects map data from open data sites and processes it with GIS software. The second stage is the land suitability evaluation using the weighted overlay method. The Last stage is the visualization of the land suitability map. The visualization process begins with the creation of a 3D map taken from DEM data. Then the land suitability map generated in the previous stage is projected onto the 3D map model. SAR visualizes a land suitability map to a 3D object with projectors. The calibration process uses the Procam library using Open CV. This study compares the projection map with the land suitability map in the form of a raster file (Tiff file format) to evaluate the projection results. Then used qualitative methods to get user responses to the system. This study concludes that SAR provides a new way to visualize maps. SAR makes it easy for map users to obtain information on the map. This system is expected to assist farmers in understanding the resulting land suitability map.
科研通智能强力驱动
Strongly Powered by AbleSci AI