UniCoor: A Smartphone Unified Coordinate System for ITS Applications

2016 ◽  
Author(s):  
Abdulla Alasaadi ◽  
Tamer Nadeem
Keyword(s):  
Coordinate System ◽  
Unified Coordinate System

Unified Coordinate System Formation for Airborne Videosar Imaging: Toward a Complete Scheme

2021 ◽  
Author(s):  
Ying Zhang ◽  
Daiyin Zhu ◽  
Yulei Qian ◽  
Yuan Cheng ◽  
Xinhua Mao ◽  
...  
Keyword(s):  
Coordinate System ◽  
System Formation ◽  
Unified Coordinate System

Unified coordinate system for retroreflectance measurements

1980 ◽  
Vol 19 (8) ◽  
pp. 1236 ◽  
Author(s):  
William H. Venable ◽  
Norbert L. Johnson
Keyword(s):  
Coordinate System ◽  
Unified Coordinate System

scholarly journals Research on Visual Image Texture Rendering for Artistic Aided Design

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yahui Xiao
Keyword(s):  
Coordinate System ◽  
Color Image ◽  
Visual Image ◽  
Original Method ◽  
Image Texture ◽  
Overall Design ◽  
Candidate Regions ◽  
Multilevel Fusion ◽  
Aided Design ◽  
Unified Coordinate System

The rendering effect of known visual image texture is poor and the output image is not always clear. To solve this problem, this paper proposes a visual image rendering based on scene visual understanding algorithm. In this approach, the color segmentation of known visual scene is carried out according to a predefined threshold, and the segmented image is processed by morphology. For this purpose, the extraction rules are formulated to screen the candidate regions. The color image is fused and filtered in the neighborhood, the pixels of the image are extracted, and the 2D texture recognition is realized by multilevel fusion and visual feature reconstruction. Using compact sampling to extract more target features, feature points are matched, the coordinate system of known image information are integrated into a unified coordinate system, and design images are generated to complete art-aided design. Simulation results show that the proposed method is more accurate than the original method for extracting the information of known images, which helps to solve the problem of clearly visible output images and improves the overall design effect.

scholarly journals Detecting of Cave Floor Ice Dynamics based on Selective Cloud-to-Cloud Approach

2019 ◽  
Author(s):  
Jozef Šupinský ◽  
Ján Kaňuk ◽  
Zdenko Hochmuth ◽  
Michal Gallay
Keyword(s):  
Coordinate System ◽  
Laser Scanning ◽  
Continuous Monitoring ◽  
Volume Changes ◽  
Ice Dynamics ◽  
Ice Volume ◽  
Significant Decrement ◽  
Climatic Regime ◽  
Unified Coordinate System

Abstract. Ice caves can be considered as an indicator of the long-term changes in the landscape. Dynamics in ice volume in the caves are common throughout the year, but the inter-seasonal comparison of ice dynamics indicates a change in the hydrological-climatic regime of the landscape. However, evaluating cave ice volume changes is a challenging task that requires continuous monitoring based on detailed mapping. Nowadays, laser scanning technology is used for cryomorphology mapping to record a status of the ice at an ultra-high resolution. In order to evaluate the dynamics of cave ice, it is necessary to place individual measurements in an unified coordinate system. In the presented paper, we propose a selective cloud-to-cloud approach that addresses the issue of registration of single scan missions into unified coordinate system. We present the results of the ice dynamics monitoring in the Silická ľadnica cave situated in the Slovak Karst, which started in summer of 2016. Based on the results we can conclude that the change in ice volume during the year is continuous and we can observe repeated processes of degradation and ice formation in the cave. Presented analysis of the inter-seasonal dynamics of the ice volume demonstrates that there has been a significant decrement of ice in the monitored period.

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