@inproceedings{0b540704d96843aaa9ac08fd9509e174,
title = "Collaborative sparse reconstruction for pan-sharpening",
abstract = "In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced 'sparsify') algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data. The superior performance of the proposed methods has been demonstrated by a statistic assessment. Moreover, first experimental result using airborne HySpex hyperspectral data is presented.",
keywords = "HySpex, J-SparseFI, Joint Sparsity, Pan-Sharpening, SparseFI",
author = "Zhu, {Xiao Xiang} and Claas Grohnfeldt and Richard Bamler",
year = "2013",
doi = "10.1109/IGARSS.2013.6721297",
language = "English",
isbn = "9781479911141",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "868--871",
booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",
note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}