"An Improved EZW Hyperspectral Image Compression"
written by Kai-Jen Cheng, Jeffrey C. Dill,
published by Journal of Computer and Communications, Vol.2 No.2, 2014
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression
2019
[2] An Improved Compression Algorithm for Hyperspectral Images based on DVAT-SVD
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2017
[3] Compression of Hyper-Spectral Images and Its Performance Evaluation
Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015, 2016
[4] Optimization of Hyperspectral Images and Performance Evaluation Using Effective Loss Algorithm
Proceedings of Fifth International Conference on Soft Computing for Problem Solving, 2016
[5] Reflectance Prediction Modelling for Residual-Based Hyperspectral Image Coding
PLOS ONE, 2016
[6] 变换域离散度排序的高光谱图像快速压缩算法
2016
[7] 基于自适应波段聚类 PCA 的高光谱图像压缩
科学技术与工程, 2015
[8] 基于粒子群优化算法的波段选择方法
计算机仿真, 2015
[9] Hyperspectral data compression using lasso algorithm for spectral decorrelation
SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, 2014., 2014