3D Data Processing and Entropy Reduction for Reconstruction from Low-Resolution Spatial Coordinate Clouds in a Technical Vision System DOI Creative Commons
Ivan Yeniseysk Alba-Corpus, Wendy Flores-Fuentes, Oleg Sergiyenko

и другие.

Entropy, Год журнала: 2024, Номер 26(8), С. 646 - 646

Опубликована: Июль 30, 2024

This paper proposes an advancement in the application of a Technical Vision System (TVS), which integrates laser scanning mechanism with single light sensor to measure 3D spatial coordinates. In this application, system is used scan and digitalize objects using rotating table explore potential for at reduced resolutions. The experiments undertaken searched optimal windows statistical data filtering techniques regression models find method generate that was still recognizable least amount points, balancing number points scanned time, while same time reducing effects caused by particularities TVS, such as noise entropy form natural distortion resulting scans. evaluation experimentation results uses point registration methods, joining multiple faces from original volume TVS aligning it ground truth model clouds, are based on commercial camera verify reconstructed retains substantial detail object. research finds possible reconstruct sufficiently detailed obtained contain coarsely or scans initially lack high definition too noisy.

Язык: Английский

Residential greenspace exposure, particularly green window-views, is associated with improved sleep quality among older adults: Evidence from a high-density city DOI
Jinguang Zhang, Shuai Zhou, Tianyu Xia

и другие.

Building and Environment, Год журнала: 2024, Номер 253, С. 111315 - 111315

Опубликована: Фев. 16, 2024

Язык: Английский

Процитировано

15

Beyond just green: Explaining and predicting restorative potential of urban landscapes using panorama-based metrics DOI
Xudong Zhang, Ervine Shengwei Lin, Puay Yok Tan

и другие.

Landscape and Urban Planning, Год журнала: 2024, Номер 247, С. 105044 - 105044

Опубликована: Март 20, 2024

Язык: Английский

Процитировано

13

Urban Agriculture: A Strategic Pathway to Building Resilience and Ensuring Sustainable Food Security in Cities DOI Creative Commons

Ruwanthika Gunapala,

Ruchira Gangahagedara, W. C. S. Wanasinghe

и другие.

Farming System, Год журнала: 2025, Номер unknown, С. 100150 - 100150

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

The relationships between 2D and 3D green index altered by spatial attributes at high spatial resolution DOI

Zhuhui Bai,

Zhifang Wang, Dan Li

и другие.

Urban forestry & urban greening, Год журнала: 2024, Номер 101, С. 128540 - 128540

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

3

Investigating the cooling effect of urban lakes from the perspective of their characteristics and surrounding landscapes: A case study of 82 urban lakes in China DOI

R.L. Huang,

Hao Hou, Jiahui Li

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 969, С. 178925 - 178925

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

0

How does campus-scape influence university students' restorative experiences: Evidences from simultaneously collected physiological and psychological data DOI

ZHANG Jingyuan,

LIU Sai,

LIU Kun

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128779 - 128779

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

The Impact of Changes in Green Space Structures on Thermal Mitigation and Costs under a Constant Green Volume DOI Open Access
Zilong Li,

Zhiyong Qi,

Bohong Zheng

и другие.

Forests, Год журнала: 2024, Номер 15(9), С. 1525 - 1525

Опубликована: Авг. 29, 2024

Green space improves outdoor thermal comfort and promotes the residents’ physical mental health. Currently, many cities are using green volume indicators to evaluate quality of residential help form latest evaluation standards. However, from perspective plant volume, impact structures on mitigation has not been emphasized. Furthermore, cost will change with structures. Therefore, we changes in costs aim find suitable allocations which balance savings. This study analyzed regional climate Then, discussed relationship between different The analytical results indicated that as trees increases, also increasing. Where exceeds 70%, no “extreme heat stress” moments occur for whole day. When increases 20% 60%, is 3.62 °C. only 1.74 °C when 60% 100%, less than half former, numerically. suggests spaces should be controlled at 60%–70% corresponding shrubs 30%–40%. rationally balances space, directly guide planning real situations.

Язык: Английский

Процитировано

1

Prioritizing 30% community tree volume ratio: Effects of community, street, and park greenspace exposure metrics on predicting older adults’ mental health DOI
Jinguang Zhang,

Yue Yin,

Tianyu Xia

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112499 - 112499

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

Applying 3D spatial metrics for landscape planning: Creating and measuring landscape scenarios by a point cloud-based approach DOI Creative Commons
Jinda Qi, Ervine Shengwei Lin, Puay Yok Tan

и другие.

Ecological Informatics, Год журнала: 2023, Номер 79, С. 102436 - 102436

Опубликована: Дек. 24, 2023

The current planning and design process predominantly relies on experts' experiences or preferences, which is beneficial straightforward but can be subjective time-consuming. Although there are some quantitative assessment tools available to aid decision-makers in understanding the perceived quality of landscape scenarios, how integrate them into thinking improve challenging. This study presents a 3D digital model integrating representation visual urban landscapes' restorative potential. consists generating scenarios environment, converting point clouds voxelising them, quantitatively assessing potential, interactively modifying designs. To demonstrate feasibility effectiveness model, we have applied it potential park Singapore. results show that provides clear identifies specific areas needing improvement. significance this lies an innovative approach scenario, ultimately enhancing overall landscapes during process.

Язык: Английский

Процитировано

3

3D Data Processing and Entropy Reduction for Reconstruction from Low-Resolution Spatial Coordinate Clouds in a Technical Vision System DOI Creative Commons
Ivan Yeniseysk Alba-Corpus, Wendy Flores-Fuentes, Oleg Sergiyenko

и другие.

Entropy, Год журнала: 2024, Номер 26(8), С. 646 - 646

Опубликована: Июль 30, 2024

This paper proposes an advancement in the application of a Technical Vision System (TVS), which integrates laser scanning mechanism with single light sensor to measure 3D spatial coordinates. In this application, system is used scan and digitalize objects using rotating table explore potential for at reduced resolutions. The experiments undertaken searched optimal windows statistical data filtering techniques regression models find method generate that was still recognizable least amount points, balancing number points scanned time, while same time reducing effects caused by particularities TVS, such as noise entropy form natural distortion resulting scans. evaluation experimentation results uses point registration methods, joining multiple faces from original volume TVS aligning it ground truth model clouds, are based on commercial camera verify reconstructed retains substantial detail object. research finds possible reconstruct sufficiently detailed obtained contain coarsely or scans initially lack high definition too noisy.

Язык: Английский

Процитировано

0