TY - GEN
T1 - Airborne SAR and optical image fusion based on IHS transform and joint non-negative sparse representation
AU - Liu, Chunhui
AU - Qi, Yue
AU - Ding, Wenrui
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - In this paper, a novel airborne synthetic aperture radar (SAR) and optical image fusion method based on Intensity-Hue-Saturation (IHS) and joint non-negative sparse representation (JNNSR) is proposed. Firstly, the color optical image is transformed into IHS space. Then, the intensity component of the optical image and the SAR image are decomposed by JNNSR into common component and innovation components. Based on the non-negative property of the sparse coefficients, the innovation component of the SAR image is fused with the intensity component of the optical image. Finally, the fused result is obtained by performing inverse IHS transform. The experimental result shows that our method is superior to the traditional methods in terms of several universal quality evaluation indexes, as well as in the visual quality.
AB - In this paper, a novel airborne synthetic aperture radar (SAR) and optical image fusion method based on Intensity-Hue-Saturation (IHS) and joint non-negative sparse representation (JNNSR) is proposed. Firstly, the color optical image is transformed into IHS space. Then, the intensity component of the optical image and the SAR image are decomposed by JNNSR into common component and innovation components. Based on the non-negative property of the sparse coefficients, the innovation component of the SAR image is fused with the intensity component of the optical image. Finally, the fused result is obtained by performing inverse IHS transform. The experimental result shows that our method is superior to the traditional methods in terms of several universal quality evaluation indexes, as well as in the visual quality.
KW - Airborne SAR image
KW - Airborne optical image
KW - IHS
KW - Image fusion
KW - Joint sparse representation
UR - https://www.scopus.com/pages/publications/85007482665
U2 - 10.1109/IGARSS.2016.7730877
DO - 10.1109/IGARSS.2016.7730877
M3 - 会议稿件
AN - SCOPUS:85007482665
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 7196
EP - 7199
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -