中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Hybrid Remote Sensing Image Segmentation Considering Intrasegment Homogeneity and Intersegment Heterogeneity

文献类型：期刊论文

作者Wang, Yongji1,2; Qi, Qingwen1; Jiang, Lili1; Ying, Liu1
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2020
卷号17期号:1页码:22-26
关键词Image segmentation Merging Remote sensing Image resolution Production facilities Forestry Image analysis Full lambda-schedule algorithm (FLSA) Gaofen-1 (GF-1) image segmentation watershed transformation within and between-segment heterogeneity
ISSN号1545-598X
DOI10.1109/LGRS.2019.2914140
通讯作者Qi, Qingwen(qiqw@igsnrr.ac.cn)
英文摘要Image segmentation plays an indispensable role in geographic object-based image analysis, but it remains difficult to obtain meaningful geo-objects from landscape scenes. In recent years, hybrid segmentation methods using the split-and-merge strategy have gained considerable attention. One of the most popular hybrid segmentation methods is the combination of the watershed transformation and full lambda-schedule algorithm (FLSA). The FLSA method only considers the intersegment heterogeneity to calculate the merging cost but ignores the impact of intrasegment homogeneity on the merging cost, thus limiting the satisfactory segmentation quality. To overcome this limitation, this letter improved the FLSA method by enhancing within-segment homogeneity and between-segment heterogeneity. In this letter, the refined method was implemented on four different study regions from Gaofen-1 images and then compared with the FLSA and local spectral angle merging (LSAM) methods. Both visual analysis and quantitative evaluation results indicated that the refined method was more accurate in generating satisfactory segmentation than the competing methods.
资助项目Science and Technology Service Network Project of China[KFJ-EW-STS-069] ; Special Topic of Basic Work of Science and Technology of China[2007FY140800] ; National Key Research and Development Program of China[2017YFB0503500] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000505528400005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Science and Technology Service Network Project of China ; Special Topic of Basic Work of Science and Technology of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/130890]  
专题中国科学院地理科学与资源研究所
通讯作者Qi, Qingwen
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Yongji,Qi, Qingwen,Jiang, Lili,et al. Hybrid Remote Sensing Image Segmentation Considering Intrasegment Homogeneity and Intersegment Heterogeneity[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2020,17(1):22-26.
APA Wang, Yongji,Qi, Qingwen,Jiang, Lili,&Ying, Liu.(2020).Hybrid Remote Sensing Image Segmentation Considering Intrasegment Homogeneity and Intersegment Heterogeneity.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,17(1),22-26.
MLA Wang, Yongji,et al."Hybrid Remote Sensing Image Segmentation Considering Intrasegment Homogeneity and Intersegment Heterogeneity".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 17.1(2020):22-26.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。