@inproceedings{d9d12df3cde9421d9a4480bfc5a8ffcb,
title = "Interband prediction compressed sensing reconstruction algorithm for hyperspectral image",
abstract = "Block compressed sensing algorithm exhibits the characteristics of the simple, effective and low memory burdens. Due to strong spatial and spectral correlation of hyperspectral image, in this paper an effective hyperspectral images block compressed sensing based on interband residual prediction reconstruction algorithm is proposed. Furthermore, an improved noise variance estimation method and the optimal distribution strategies of spectral sampling rates is presented by comparing and analyzing the experimental results. Experimental results demonstrate that the reconstruction performances of proposed algorithm outperform several state-of-the-art compressed sensing algorithms.",
keywords = "block compressed sensing, hyperspectral image, Interband prediction",
author = "Ying Hou and Yanning Zhang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 ; Conference date: 04-07-2016 Through 06-07-2016",
year = "2016",
month = aug,
day = "25",
doi = "10.1109/EORSA.2016.7552852",
language = "英语",
series = "4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "465--469",
editor = "Paolo Gamba and George Xian and Shunlin Liang and Qihao Weng and Chen, {Jing Ming} and Shunlin Liang",
booktitle = "4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings",
}