@inproceedings{0e4326fa52e146808db09a9a89c0d3c1,
title = "Resolution enhancement of hyperspectral images using distortion optimization",
abstract = "Pansharpening algorithms have been widely discussed since the poor spatial resolution of the hyperspectral images limits their use in identifying textures or some other detailed information of different ground types in many applications such as sophisticated interpretation. To overcome the defect is of the top priority in this topic, for the conventional pansharpening methodologies usually suffer both spectral and spatial distortion severely after the processing. In this paper, a hyperspectral images resolution enhancement method aiming at distortion optimization is presented. Quality-based Segmented Principal Component Transform (QSPCT) is proposed to minimize the distortion, after which the injection model is employed. The potential of the proposed method is further demonstrated through comparative analysis against a number of standard pan-sharpening algorithms on EO-1 data sets.",
keywords = "Pansharpening, distortion optimization, enhancement, hyperspectral, panchromatic",
author = "Tong Li and Junping Zhang and Xi Chen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",
year = "2015",
month = nov,
day = "10",
doi = "10.1109/IGARSS.2015.7325693",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "45--48",
booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",
address = "美国",
}