@inproceedings{853f45601d7d43aa9e214dd17aee56fb,
title = "Improved Multiresolution Analysis Method for Hyperspectral Pansharpening",
abstract = "The fusion of Panchromatic (PAN) and Hyperspectral image (HSI) aims at improving resolution in spatial and spectral domain simultaneously. Multiresolution analysis is a widely used method for Mutispectral or HSI pansharpening. However, only detail information from PAN is considered while ignoring the detail information from HSI. In this paper, an improved approach based on multiresolution analysis is proposed, which extracts detail information from both PAN and HSI by choosing optimal multiresolution layers. Another contribution is that we discuss the weight when fusing the detail information. The experimental results demonstrate that the proposed method can provide better quality metrics and visual effects when compared with some existing methods.",
keywords = "Hyperspectral Image, Image Fusion., Multiresolution, Panchromatic Image",
author = "Xiuxiu Hu and Yan Shi and Wei Li and Ran Tao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
month = jul,
doi = "10.1109/IGARSS.2019.8898539",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2778--2781",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
address = "United States",
}