How to best map greenery from a human perspective? Comparing computational measurements with human perception

被引:9
|
作者
Torkko, Jussi [1 ]
Poom, Age [1 ,2 ,3 ]
Willberg, Elias [1 ,3 ]
Toivonen, Tuuli [1 ,3 ]
机构
[1] Univ Helsinki, Dept Geosci & Geog, Digital Geog Lab, Helsinki, Finland
[2] Univ Tartu, Dept Geog, Mobil Lab, Tartu, Estonia
[3] Univ Helsinki, Helsinki Inst Sustainabil Sci, Inst Urban & Reg Studies, Helsinki, Finland
来源
基金
欧洲研究理事会;
关键词
urban greenery; human perception; image segmentation; green view index; point cloud methods; NDVI; street-level greenery; ABSOLUTE ERROR MAE; GOOGLE STREET VIEW; URBAN FORESTS; ASSOCIATIONS; VISIBILITY; SPACES; RMSE;
D O I
10.3389/frsc.2023.1160995
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban greenery has been shown to impact the quality of life in our urbanizing societies. While greenery is traditionally mapped top-down, alternative computational approaches have emerged for mapping greenery from the street level to mimic human sight. Despite the variety of these novel mapping approaches, it has remained unclear how well they reflect human perception in reality. We compared a range of both novel and traditional mapping methods with the self-reported perception of urban greenery at randomly selected study sites across Helsinki, the capital of Finland. The mapping methods included both image segmentation and point cloud-based methods to capture human perspective as well as traditional approaches taking the top-down perspective, i.e., land cover and remote sensing-based mapping methods. The results suggest that all the methods tested are strongly associated with the human perception of greenery at the street-level. However, mapped greenery values were consistently lower than the perceived values. Our results support the use of semantic image segmentation methods over color segmentation methods for greenery extraction to be closer to human perception. Point cloud-based approaches and top-down methods can be used as alternatives to image segmentation in case data coverage for the latter is limited. The results highlight a further research need for a comprehensive evaluation on how human perspective should be mimicked in different temporal and spatial conditions.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Metrics of human perception of vanishing points in perspective sketches
    Plumed, Raquel
    Company, Pedro
    Varley, Peter A. C.
    WSCG 2013, FULL PAPERS PROCEEDINGS, 2013, : 59 - 68
  • [32] A compact olfactometer for IMS measurements and testing human perception
    Nieminen, Ville
    Karjalainen, Markus
    Salminen, Katri
    Rantala, Jussi
    Kontunen, Anton
    Isokoski, Poika
    Mueller, Philipp
    Kallio, Pasi
    Surakka, Veikko
    Lekkala, Jukka
    INTERNATIONAL JOURNAL FOR ION MOBILITY SPECTROMETRY, 2018, 21 (03) : 71 - 80
  • [33] Representation of human vision in the brain: How does human perception recognize images?
    Stark, LW
    Privitera, CM
    Yang, HY
    Azzariti, M
    Ho, YF
    Blackmon, T
    Chernyak, D
    JOURNAL OF ELECTRONIC IMAGING, 2001, 10 (01) : 123 - 151
  • [34] Relationship between Human Perception of Softness and Instrument Measurements
    Wang, Yuhan
    De Assis, Tiago
    Zambrano, Franklin
    Pal, Lokendra
    Venditti, Richard
    Dasmohapatra, Sudipta
    Pawlak, Joel
    Gonzalez, Ronalds
    BIORESOURCES, 2019, 14 (01) : 780 - 795
  • [35] Efficient measurements for the dynamic range of human lightness perception
    Horiguchi, Hiroshi
    Suzuki, Eiji
    Kubo, Hiroyuki
    Fujikado, Takashi
    Asonuma, Sanae
    Fujimoto, Chihomi
    Tatsumoto, Muneto
    Fukuchi, Takeo
    Sakaue, Yuta
    Ichimura, Mika
    Kurimoto, Yasuo
    Yamamoto, Midori
    Nakadomari, Satoshi
    JAPANESE JOURNAL OF OPHTHALMOLOGY, 2021, 65 (03) : 432 - 438
  • [36] On Human Rights from the Perspective of Human Dignity
    LIU HUAWEN
    HumanRights, 2011, 10 (02) : 12 - 15
  • [37] Efficient measurements for the dynamic range of human lightness perception
    Hiroshi Horiguchi
    Eiji Suzuki
    Hiroyuki Kubo
    Takashi Fujikado
    Sanae Asonuma
    Chihomi Fujimoto
    Muneto Tatsumoto
    Takeo Fukuchi
    Yuta Sakaue
    Mika Ichimura
    Yasuo Kurimoto
    Midori Yamamoto
    Satoshi Nakadomari
    Japanese Journal of Ophthalmology, 2021, 65 : 432 - 438
  • [38] Robot's and Human's Self: A Computational Perspective
    Garcia Banos, Angel de la Encarnacion
    NATURAL AND ARTIFICIAL COMPUTATION FOR BIOMEDICINE AND NEUROSCIENCE, PT I, 2017, 10337 : 3 - 9
  • [39] A common computational principle for vibrotactile pitch perception in mouse and human
    Prsa, Mario
    Kilicel, Deniz
    Nourizonoz, Ali
    Lee, Kuo-Sheng
    Huber, Daniel
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [40] Towards a Computational Model of Perception and Action in Human Computer Interaction
    Haazebroek, Pascal
    Hommel, Bernhard
    DIGITAL HUMAN MODELING, PROCEEDINGS, 2009, 5620 : 247 - +