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Tourists’ Landscape Preferences of Luoxiao Mountain National Forest Trail Based on Deep Learning

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成果类型:
期刊论文
作者:
Ding, Ying;Bai, Zhiyong;Xia, Hongling;Tang, Hui
通讯作者:
Xia, H.
作者机构:
[Ding, Ying] Cent South Univ Forestry & Technol, Forestry Coll, Changsha 410004, Hunan, Peoples R China.
[Tang, Hui; Bai, Zhiyong] Cent South Univ Forestry & Technol, Tourism Coll, Changsha 410004, Hunan, Peoples R China.
[Xia, Hongling] Hunan Urban Construct Coll, Dept Architecture, Xiangtan 411100, Hunan, Peoples R China.
通讯机构:
[Hongling Xia] D
[Zhiyong Bai; Hui Tang] T
[Ying Ding] F
Forestry College,Central South University of Forestry and Technology,Changsha,China<&wdkj&>Tourism College,Central South University of Forestry and Technology,Changsha,China<&wdkj&>Department of Architecture,Hunan Urban Construction College,Xiangtan,China
语种:
英文
关键词:
Introduction;Materials and Methods;Results;Discussion;Conclusion;Abstract;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interests;Authors’ Contributions;Funding Statement;Acknowledgements;Acknowledgments;Supplementary Materials;Reference;Dataset Description;Dataset Files;Abstract;Introduction;Introduction and Materials;Introduction and Methods;Materials;Materials and Methods;Methods;Results;Discussion;Results and Discussion;Discussion and Conclusion;Results and Conclusion;Conclusion;Conclusions;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interest;Authors’ Contributions;Funding Statement;Acknowledgements;Supplementary Materials;References;Appendix;Abbreviations;Preliminaries;Introduction and Preliminaries;Notation;Proof of Theorem;Proofs;Analysis of Results;Examples;Numerical Example;Applications;Numerical Simulation;Model;Model Formulation;Systematic Palaeontology;Nomenclatural Acts;Taxonomic Implications;Experimental;Synthesis;Overview;Characterization;Background;Experimental;Theories;Calculations;Model Verification;Model Implementation;Geographic location;Study Area;Geological setting;Data Collection;Field Testing;Data and Sampling;Dataset;Literature Review;Related Works;Related Work;System Model;Methods and Data;Experimental Results;Results and Analysis;Evaluation;Implementation;Case Presentation;Case Report;Search Terms;Case Description;Case Series;Background;Limitations;Additional Points;Case;Case 1;Case 2 etc.;Concern Details;Retraction Details;Copyright;Related Articles
期刊:
Wireless Communications and Mobile Computing
ISSN:
1530-8669
年:
2022
卷:
2022
基金类别:
Science and Education Joint Project of Hunan Natural Science Foundation: Research on public landscape preference of nature reserve in Hunan Province [2021JJ60014]
机构署名:
本校为第一机构
院系归属:
林学院
旅游学院
摘要:
Assessing visitor usage and understanding visitor experiences are key components of the sustainable management of the natural environment. In the study of the relationship between people and landscapes, the combination of deep learning and traditional classification is rarely used to study the landscape preferences in the natural environment, and the research perspective of vertical space at altitude is lacking. This article is based on photo data voluntarily uploaded by tourists on the 2bulu outdoor assistant platform. A combination of deep learning and traditional manual classification was u...

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