BEMD-based high resolution image fusion for land cover classification: A case study in Guilin

6th Digital Earth Summit

地球科学;计算机科学

Li, Lei^1 ; Liu, Guang^2 ; Jin, Qingwen^3 ; He, Chengxin^4 ; Huang, Yuqing^4 ; Yao, Yuefeng^4

Department of Survey, School of Civil Engineering, Beijing Jiaotong University, Beijing

100044, China^1

Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing

100094, China^2

Institute of Geography and Environment, Baoji University of Arts and Sciences, Baoji, Shaanxi

721013, China^3

Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin

541006, China^4

关键词: Adverse effect;    Bi dimensional empirical mode decomposition (BEMD);    High resolution image;    High-resolution SAR;    Land cover classification;    Remote sensing images;    Texture features;    Texture information;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/46/1/012053/pdf
DOI  :  10.1088/1755-1315/46/1/012053

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Analysis of image texture feature can help to reduce the adverse effects of the condition that same object but different band or same band but different object. Therefore, if it can add and highlight the texture information to the remote sensing image, it will be very helpful in the classification of ground objects. In this paper we consider to add SAR image information in classification. Bidimensional empirical mode decomposition (BEMD) has been widely applied to the analysis of non-stationary and non-linear signals. This paper proposes a new method for fusing high resolution SAR and optical image in Guilin area, based on Bidimensional empirical mode decomposition (BEMD) method.