@inproceedings{538f2bb5321d4cd3b8e958d0f6b448af,
title = "Pansharpening of Multispectral Images based on Cycle-spinning Quincunx Lifting Transform",
abstract = "Pansharpening is a process of fusing the multispectral (MS) images with the panchromatic (PAN) image to improve the spatial resolution of the MS images. The key of pansharpening is how to extract the lost detail from the PAN image and add it to the MS images with an appropriate injection model. In this paper, a pansharpening approach based on cycle-spinning quincunx lifting transform (CQLT) is proposed. The CQLT features translation invariance and vanishing moments which can extract the detail properly. In order to reduce the spectral distortion of the fused image, the histogram matching along with two popular injection models are involved in the fusion. Experimental results show that the proposed method has better quantitative results as well as competitive visual results compared with some other state-of-the-art algorithms.",
keywords = "Pansharpening, cycle-spinning, image fusion, lifting transform, multispectral image, remote sensing",
author = "Yan Shi and Wanyu Zhou and Wei Li",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICSIDP47821.2019.9172997",
language = "English",
series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
address = "United States",
}