@inproceedings{8fa257a5dd2140a1b699c73828325820,
title = "Spatial-spectral data fusion for resolution enhancement of hyperspectral imagery",
abstract = "A new spatial-spectral data fusion technique based on spectral mixture analysis and super-resolution mapping for spatial resolution enhancement of hyperspectral imagery is proposed in this paper. To this end, a linear mixture model and a constrained least squares based unmixing algorithm are applied for spectral unmixing of the hyperspectral imagery and the resulted fractional images are processed based on a spatial-spectral information correlation model through a super-resolution mapping technique. The obtained results validate the effectiveness of the method. It doesn't need any a priori information of the scene or secondary high resolution source of data, and is fast.",
keywords = "Data fusion, Hyperspectral imagery, Resolution enhancement, Spectral unmixing, Super-resolution mapping",
author = "Mianji, \{Fereidoun A.\} and Ye Zhang and Yanfeng Gu and Asad Babakhani",
year = "2009",
doi = "10.1109/IGARSS.2009.5417949",
language = "英语",
isbn = "9781424433957",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "III1011--III1014",
booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",
note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",
}