Unveiling Urban River Visual Features Through Immersive Virtual Reality: Analyzing Youth Perceptions with UAV Panoramic Imagery DOI Creative Commons

Yunlei Shou,

Z. H. Lei, Jiaying Li

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(11), С. 402 - 402

Опубликована: Ноя. 7, 2024

The visual evaluation and characteristic analysis of urban rivers are pivotal for advancing our understanding waterscapes their surrounding environments. Unmanned aerial vehicles (UAVs) offer significant advantages over traditional satellite remote sensing, including flexible surveying, diverse perspectives, high-resolution imagery. This study centers on the Haihe River, South Canal, North Canal in Tianjin China, employing UAVs to capture continuous panoramic image data. Through immersive virtual reality (VR) technology, evaluations these images were obtained from a cohort young participants. These encompassed assessments scenic beauty, color richness, vitality, historical sense. Subsequently, computer vision techniques utilized quantitatively analyze proportions various landscape elements (e.g., trees, grass, buildings) within images. Clustering results semantic segmentation outcomes different points facilitated effective identification grouping river features. findings reveal differences vitality among whereas Canals exhibited limited sense history. Six elements—water bodies, buildings, etc.—comprised 90% images, forming primary characteristics three rivers. Nonetheless, uneven spatial distribution resulted notable variations features demonstrates that feature method based UAV can achieve quantitative multi-scene 3D landscapes, thereby providing robust scientific foundation optimization

Язык: Английский

A deep learning-based study on visual quality assessment of commercial renovation of Chinese traditional building facades DOI
Jingjing Zhao, Chenping Han, Yijing Wu

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 113, С. 107862 - 107862

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0

Exploring recreational walking and its correlated built environment factors in river corridor space through a trajectory sematic-based approach DOI
Haochen Shi, Liyue Zhang, Ding Ma

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128767 - 128767

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Toward a Comprehensive Gis-Based Visual Analysis Framework for Urban Heritage Landscapes DOI
Yuyang Peng, Steffen Nijhuis,

Mingwei GENG

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0

Unveiling Urban River Visual Features Through Immersive Virtual Reality: Analyzing Youth Perceptions with UAV Panoramic Imagery DOI Creative Commons

Yunlei Shou,

Z. H. Lei, Jiaying Li

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2024, Номер 13(11), С. 402 - 402

Опубликована: Ноя. 7, 2024

The visual evaluation and characteristic analysis of urban rivers are pivotal for advancing our understanding waterscapes their surrounding environments. Unmanned aerial vehicles (UAVs) offer significant advantages over traditional satellite remote sensing, including flexible surveying, diverse perspectives, high-resolution imagery. This study centers on the Haihe River, South Canal, North Canal in Tianjin China, employing UAVs to capture continuous panoramic image data. Through immersive virtual reality (VR) technology, evaluations these images were obtained from a cohort young participants. These encompassed assessments scenic beauty, color richness, vitality, historical sense. Subsequently, computer vision techniques utilized quantitatively analyze proportions various landscape elements (e.g., trees, grass, buildings) within images. Clustering results semantic segmentation outcomes different points facilitated effective identification grouping river features. findings reveal differences vitality among whereas Canals exhibited limited sense history. Six elements—water bodies, buildings, etc.—comprised 90% images, forming primary characteristics three rivers. Nonetheless, uneven spatial distribution resulted notable variations features demonstrates that feature method based UAV can achieve quantitative multi-scene 3D landscapes, thereby providing robust scientific foundation optimization

Язык: Английский

Процитировано

0