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基于街景图像的滨海景观功能区识别

李嘉慧 朱健锋 王冰洁

城市建筑2024,Vol.21Issue(14):216-218,3.
城市建筑2024,Vol.21Issue(14):216-218,3.DOI:10.19892/j.cnki.csjz.2024.14.52

基于街景图像的滨海景观功能区识别

The Identification of Functional Areas of Coastal Landscape Based on Street View Images:A Case of Jinpu New Area in Dalian

李嘉慧 1朱健锋 1王冰洁2

作者信息

  • 1. 辽宁师范大学地理科学学院
  • 2. 大连金普新区规划院
  • 折叠

摘要

Abstract

Coastal space is a crucial component of urban open spaces,as well as vital living and recreational areas for the human being.Accurate identification,delineation,and development of coastal functional areas are pivotal for the development of coastal cities.This paper used the U-Net model as well as the street view image data to identify the coastal functional area in Jinpu New District of Dalian City.The results indicate that the U-Net model is effective on semantic segmentation of costal street view.This method can identify the functional zones rapidly and study the evolution of coastal landscape.It provides technical support for the utilization,planning and development of coastal spaces in coastal cities.

关键词

滨海景观格局/街景图像/U-Net/功能区/金普新区

Key words

coastal landscape pattern/street view image/U-net/functional area/Jinpu New Area

分类

建筑与水利

引用本文复制引用

李嘉慧,朱健锋,王冰洁..基于街景图像的滨海景观功能区识别[J].城市建筑,2024,21(14):216-218,3.

基金项目

国家自然科学基金青年项目(42101257) (42101257)

城市建筑

1673-0232

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