TY - GEN
T1 - Study on WorldView-2 Image Fusion Method Based on NMF and HCS Transform
AU - He, Guiqing
AU - Xing, Siyuan
AU - Xia, Zhaoqiang
AU - Dong, Dandan
AU - Wei, Yijing
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - With the launch and rapid development of a novel satellite WorldView-2, study on fusion of panchromatic and multispectral images from the satellite has become a hot spot. As there are generally a pair of contradictions existing in the panchromatic and multispectral image fusion method: either failure to avoid spectral distortion, or need of introducing a complex and time-consuming frequency decomposition and reconstruction process, a panchromatic and multispectral image fusion method based on non-negative matrix factorization (NMF) and hyperspherical color sharpening (HCS) was proposed in this paper. Owing to the mismatch of special coverage range of Worldview-2 panchromatic and multispectral images, the intensity component I extracted from multispectral images differs greatly from that extracted from panchromatic images (PAN), causing increased spectral distortion. In the component I extraction method based on NMF proposed in this paper, image fusion is conducted using the advantage that NMF can automatically find the hidden mode or trend behind data and further using the WorldView-2 faced HCS transform. The experimental results show that this algorithm can significantly retain the spectral characteristics, and does not contain a frequency decomposition and reconstruction process, in addition, spatial detail information is effectively incorporated, so the algorithm has simple calculation and good real-time property, and has important application reference value for fusion systems that need rapid interactive processing and real-time visualization.
AB - With the launch and rapid development of a novel satellite WorldView-2, study on fusion of panchromatic and multispectral images from the satellite has become a hot spot. As there are generally a pair of contradictions existing in the panchromatic and multispectral image fusion method: either failure to avoid spectral distortion, or need of introducing a complex and time-consuming frequency decomposition and reconstruction process, a panchromatic and multispectral image fusion method based on non-negative matrix factorization (NMF) and hyperspherical color sharpening (HCS) was proposed in this paper. Owing to the mismatch of special coverage range of Worldview-2 panchromatic and multispectral images, the intensity component I extracted from multispectral images differs greatly from that extracted from panchromatic images (PAN), causing increased spectral distortion. In the component I extraction method based on NMF proposed in this paper, image fusion is conducted using the advantage that NMF can automatically find the hidden mode or trend behind data and further using the WorldView-2 faced HCS transform. The experimental results show that this algorithm can significantly retain the spectral characteristics, and does not contain a frequency decomposition and reconstruction process, in addition, spatial detail information is effectively incorporated, so the algorithm has simple calculation and good real-time property, and has important application reference value for fusion systems that need rapid interactive processing and real-time visualization.
KW - Hyperspherical color sharpening
KW - Non-negative matrix factorization
KW - Panchromatic and multispectral image fusion
KW - WorldView-2
UR - http://www.scopus.com/inward/record.url?scp=85020175597&partnerID=8YFLogxK
U2 - 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.124
DO - 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.124
M3 - 会议稿件
AN - SCOPUS:85020175597
T3 - Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016
SP - 548
EP - 553
BT - Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016
A2 - Liu, Xingang
A2 - Qiu, Tie
A2 - Li, Yayong
A2 - Guo, Bin
A2 - Ning, Zhaolong
A2 - Lu, Kaixuan
A2 - Dong, Mianxiong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Internet of Things, 12th IEEE International Conference on Green Computing and Communications, 9th IEEE International Conference on Cyber, Physical, and Social Computing and 2016 IEEE International Conference on Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016
Y2 - 16 December 2016 through 19 December 2016
ER -