HYPERSPECTRAL AND PANCHROMATIC IMAGE FUSION BASED ON WEIGHTED TENSOR MATRIX

被引：0
|
作者：
Qu, Jiahui [1 ]
Du, Qian [2 ]
Li, Yunsong [1 ]
Dong, Wenqian [1 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Peoples R China
[2] Mississippi State Univ, Dept Elect & Comp Engn, Starkville, MS USA
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
hyperspectral; panchromatic; image fusion; homomorphic filter; weighted tensor;
D O I：
10.1109/igarss.2019.8900283
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In this paper, a new hyperspectral image (HSI) and panchromatic image (PANI) fusion approach via weighted tensor matrix is proposed. In the proposed method, homomorphic filtering is use for obtaining spatial component of HSI, and a weighted root mean squared error (RMSE)-based algorithm is proposed to extract the total intensity details of HSI. In addition, an optimized weighted tensor matrix-based method is proposed to acquire the integrated intensity details from both HSI and PANI. Comparative analyses show the proposed approach performs better than other excellent approaches in visual inspection and objective assessment.
引用
收藏
页码：632 / 635
页数：4
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