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中国科学院大学学报 ›› 2025, Vol. 42 ›› Issue (4): 528-537.DOI: 10.7523/j.ucas.2023.074

• 电子信息与计算机科学 • 上一篇    

乡镇尺度SDGSAT-1微光影像灯光分布与不透水层的相关性分析

王昭1,2, 闫冬梅1, 唐娉1, 张正1   

  1. 1. 中国科学院空天信息创新研究院, 北京 100094;
    2. 中国科学院大学电子电气与通信工程学院, 北京 100049
  • 收稿日期:2023-06-05 修回日期:2023-09-04 发布日期:2023-09-04
  • 通讯作者: 张正,E-mail:zhangzheng@aircas.ac.cn
  • 基金资助:
    国家自然科学基金重大项目(42192584)、中国科学院青年创新促进会(2022127)和中国科学院空天信息创新研究院“未来之星”人才计划(2020KTYWLZX03,2021KTYWLZX07)资助

Correlation analysis between light distribution area of SDGSAT-1 low-light images and impervious area at township scale

WANG Zhao1,2, YAN Dongmei1, TANG Ping1, ZHANG Zheng1   

  1. 1. Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing 100094, China;
    2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences,Beijing 100049, China
  • Received:2023-06-05 Revised:2023-09-04 Published:2023-09-04

摘要: 以安徽省亳州市为研究区域,通过可视化方式展现了几种不同用途建筑灯光在2个时相的强度差别,继而对灯光面积和不透水层面积进行线性回归分析和交并比分析,获得城市与乡镇地区灯光分布的差异及变化情况。结果显示:1)不同建筑类型在不同时间的灯光强度存在差异;2)因空间分辨率高,SDGSAT-1微光影像能够部分区分城市区域的主干道路灯光与建筑灯光,城市区域的灯光大部分由道路发出;3)灯光面积与不透水层面积的线性回归在城市区域能够产生较好的拟合效果,乡镇地区的灯光面积因不易被传感器接收而难以与不透水层面积建立良好的拟合关系;4)亳州市各街道、乡镇灯光面积与不透水层面积的交并比与GDP相关。

关键词: SDGSAT-1, 微光影像, 乡镇尺度, 线性回归, 交并比

Abstract: Taking Bozhou City, Anhui Province as the research area, the differences in the light intensity of several buildings with different uses in two phases were shown in a visualized way. The light area and the impervious area were analyzed by linear regression and IoU (intersection over union) to obtain the differences and changes in light distribution in urban and rural areas. The results show that: 1) Different building types have different light intensities at different times. 2) Due to the high spatial resolution, SDGSAT-1 low-light images can partially distinguish between the main road lights and building lights in urban areas. 3) The linear regression of the light area and the area of the impermeable layer can produce a good fitting effect in the urban area, but the light in the township area can not be well fitted with the area of the impermeable layer because it is not easy to be received by the sensor. 4) The IoU of light area and impervious area in the towns of Bozhou is related to GDP.

Key words: SDGSAT-1, low-light images, township scale, linear regression, IoU

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