HYPERSPECTRAL IMAGE RESOLUTION ENHANCEMENT BASED ON JOINT SPARSITY SPECTRAL UNMIXING

被引：13

作者：

Bieniarz, Jakub ^{[1
]}

Mueller, Rupert ^{[1
]}

Zhu, Xiao Xiang ^{[1
]}

Reinartz, Peter ^{[1
]}

机构：

[1] Earth Observat Ctr, German Aerosp Ctr DLR, D-82234 Wessling, Germany

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

Hyperspectral image; image fusion; resolution enhancement; sparse unmixing; FUSION;

D O I：

10.1109/IGARSS.2014.6947017

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：

Relatively low spatial resolution of the space-borne hyperspectral images (HSI) is the main drawback to derive value added products. Recently, several techniques have been proposed in order to enhance the spatial resolution HSI by means of fusion with higher spatial resolution multispectral images. This paper presents an alternative approach based on the joint sparsity model for spectral unmixing with the use of a-priori spectral dictionary. To assess the results, we compare our algorithm with the state of the art methods.

引用

页码：2645 / 2648

页数：4

共 50 条

[1] Joint Processing of Spatial Resolution Enhancement and Spectral Unmixing for Hyperspectral Image
Yi, Chen
Liu, Ying
Zheng, Ling
Gan, Yuquan
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
[2] HYPERSPECTRAL IMAGE RESOLUTION ENHANCEMENT BASED ON SPECTRAL UNMIXING AND INFORMATION FUSION
Bieniarz, J.
Cerra, D.
Avbelj, J.
Reinartz, P.
Mueller, R.
ISPRS HANNOVER WORKSHOP 2011: HIGH-RESOLUTION EARTH IMAGING FOR GEOSPATIAL INFORMATION, 2011, 39-4 (W19): : 33 - 37
[3] Hyperspectral Image Resolution Enhancement Using High-Resolution Multispectral Image Based on Spectral Unmixing
Bendoumi, Mohamed Amine
He, Mingyi
Mei, Shaohui
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (10): : 6574 - 6583
[4] Joint Sparsity Model for Multilook Hyperspectral Image Unmixing
Bieniarz, J.
Aguilera, E.
Zhu, X. X.
Mueller, R.
Reinartz, P.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (04) : 696 - 700
[5] Spatial Resolution Enhancement Of Hyperspectral Image By Negative Abundance Oriented Spectral Unmixing
Gayathri, S. A.
Renjith, R. J.
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS (COMNET), 2016, : 148 - 152
[6] Spectral-spatial joint sparsity unmixing of hyperspectral images based on framelet transform
Xu, Chenguang
Wu, Zhaoming
Li, Fan
Zhang, Shaoquan
Deng, Chengzhi
Wang, Yuanyun
INFRARED PHYSICS & TECHNOLOGY, 2021, 112
[7] High-resolution Hyperspectral Image Fusion Based on Spectral Unmixing
Wei, Qi
Godsill, Simon
Bioucas-Dias, Jose M.
Dobigeon, Nicolas
Tourneret, Jean-Yves
2016 19TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2016, : 1714 - 1719
[8] Hyperspectral Image Super-Resolution Based on Spatial Group Sparsity Regularization Unmixing
Li, Jun
Peng, Yuanxi
Jiang, Tian
Zhang, Longlong
Long, Jian
APPLIED SCIENCES-BASEL, 2020, 10 (16):
[9] Sparsity measure based library aided unmixing of hyperspectral image
Das, Samiran
Routray, Aurobinda
Deb, Alok Kanti
IET IMAGE PROCESSING, 2019, 13 (12) : 2077 - 2085
[10] Joint linear/nonlinear spectral unmixing of hyperspectral image data
Plaza, Javier
Plaza, Antonio
Perez, Rosa
Martinez, Pablo
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 4037 - 4040

← 1 2 3 4 5 →