Multiscale segmentation-optimized algorithm for high-spatial remote sensing imagery considering global and local optimizations

HONG Liang; CHU Sensen; PENG Shuangyun; XU Quanli

doi:10.11834/jrs.20208496

Technology and Methodology | Views:1468Downloads:1940CSCD:10

Export
Share
Collection
Album

Multiscale segmentation-optimized algorithm for high-spatial remote sensing imagery considering global and local optimizations
- role：First author第一作者
- Affiliation：
  Yunnan Normal University, School of Tourism and Geography, Kunming 650500, China
  Yunnan Normal University, GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education, Kunming 650500 ,China
  Yunnan Normal University, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China
  Yunnan Normal University, Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China
- Email：hongliang20433@hotmail.com
- Introduction：洪亮，1981年生，男，副教授，研究方向为高分辨率遥感影像智能处理与应用。E-mail:hongliang20433@hotmail.com
HONG Liang
1234 * ,
- role：Corresponding author通信作者
- Affiliation：
  Yunnan Normal University, School of Tourism and Geography, Kunming 650500, China
  Nanjing University, Department of Geographic information Science, Nanjing 210023, China
- Email：chusensen@163.com
- Introduction：楚森森，1989年生，男，博士研究生，研究方向为高分辨率遥感影像信息提取。E-mail：chusensen@163.com
CHU Sensen
15 * ,
- Affiliation：
  Yunnan Normal University, School of Tourism and Geography, Kunming 650500, China
  Yunnan Normal University, GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education, Kunming 650500 ,China
  Yunnan Normal University, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China
  Yunnan Normal University, Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China
PENG Shuangyun
1234 * ,
- Affiliation：
  Yunnan Normal University, School of Tourism and Geography, Kunming 650500, China
  Yunnan Normal University, GIS Technology Research Center of Resource and Environment in Western China of Ministry of Education, Kunming 650500 ,China
  Yunnan Normal University, Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China
  Yunnan Normal University, Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China
XU Quanli
1234 *
Vol. 24, Issue 12, Pages: 1464-1475(2020)
DOI：10.11834/jrs.20208496
Accepted：

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Multiscale segmentation-optimized algorithm for high-spatial remote sensing imagery considering global and local optimizations

Full Text(HTML)
Figs( 31 ) Tabs( 2 )
References
Publication Info
Metrics

Multiscale segmentation-optimized algorithm for high-spatial remote sensing imagery considering global and local optimizations

HONG Liang

CHU Sensen

PENG Shuangyun

XU Quanli

DOI：10.11834/jrs.20208496

Full Text(HTML)

Figs( 31 ) Tabs( 2 )

References

Publication Info

Metrics

摘要

Abstract

关键词

Keywords

references