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*

doi:10.7523/j.ucas.2023.074

中国科学院大学学报

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 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: ^† E-mail: zhangzheng@aircas.ac.cn
基金资助:
^*国家自然科学基金重大项目-地表异常遥感探测与即时诊断方法(No. 42192584) 、中国科学院青年创新促进会（No. 2022127）、中国科学院空天信息创新研究院“未来之星”人才计划（No. 2020KTYWLZX03、No. 2021KTYWLZX07）资助

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

WANG Zhao^1,2, YAN Dongmei¹, TANG Ping¹, ZHANG Zheng¹

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/Abstract

摘要： SDGSAT-1能够提供10m分辨率全色微光影像,为乡镇尺度夜间灯光研究奠定了基础。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强度在两个时相的差别,继而将灯光面积和不透水层面积做了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。结果显示：(1)不同建筑类型在不同时间的灯光强度有不同的表现;(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,乡镇地区的灯光因不易被传感器接收而无法同不透水层面积产生很好的拟合关系;(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: SDGSAT-1 can provide panchromatic low-light images with a resolution of 10m, laying the foundation for the study of township-scale night lights. Taking Bozhou, Anhui 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 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 cannot 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

中图分类号:

TP79

王昭, 闫冬梅, 唐娉, 张正. 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^*[J]. 中国科学院大学学报, DOI: 10.7523/j.ucas.2023.074.

WANG Zhao, YAN Dongmei, TANG Ping, ZHANG Zheng. Correlation analysis between light distribution area of SDGSAT-1 low-light images and impervious area at township scale[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2023.074.

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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^*

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

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