SUB-PIXEL MAPPING FOR HYPERSPECTRAL IMAGERY USING SUPER-RESOLUTION THEN SPECTRAL UNMIXING

被引：4
|
作者：
Wang, Liguo [1 ]
Wang, Peng [1 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Peoples R China
来源：
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年
基金：
中国国家自然科学基金;
关键词：
Hyperspectral imagery; SPM; super-resolution; endmembers of interest;
D O I：
10.1109/IGARSS.2016.7729114
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a sub-pixel mapping (SPM) method based on super-resolution then spectral unmixing (SRTSUSPM) is proposed. In the proposed framework, firstly projection onto convex set (POCS) model with the endmembers of interest is applied to original imagery to obtain a high-resolution imagery; then the fraction images are derived from the high-resolution imagery by linear spectral mixture analysis (LSMA); finally hard attribute values on a per sub-pixel basis is implemented to achieve SPM. Experiments show that the higher mapping accuracy can be derived from the proposed SPM method.
引用
收藏
页码：461 / 464
页数：4
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