Demo_nLCA-IVM
所属分类：图形图像处理
开发工具：Windows_Unix
文件大小：99KB
下载次数：87
上传日期：2014-12-21 23:42:52
上 传 者：
maofeng412
说明： 高光谱混合像元分解算法，效率很高，比较新，是一个台湾的大牛写的
(Hyperspectral unmixing algorithms, high efficiency, relatively new, is a large cattle written Taiwan)
文件列表:
Demo_nLCA-IVM\demo_nLCA_IVM.m (2103, 2009-05-16)
Demo_nLCA-IVM\nLCA_IVM.m (4189, 2009-05-16)
Demo_nLCA-IVM\S.mat (100860, 2009-05-01)
Demo_nLCA-IVM (0, 2009-05-01)
nLCA-IVM algorithm ReadMe
Our nLCA-IVM algorithm algorithm relies on a (also free) convex optimization software SeDuMi.
You may find SeDuMi at http://sedumi.mcmaster.ca/. Please install it on your computer if you don't have one.
The main function for the nLCA-IVM algorithm is
%==========================================================================
% function [Y iter_cnt time]=nLCA_IVM(X, nor_flag, show_flag)
%--------------------------------------
% Input:
%--------------------
% X is the N by L observation matrix, where L is the data length and N is
% the number of sources
% nor_flag: 1- normalize each row of X such that sum of each row of X equals
% unity, and 0 - do nothing.
% show_flag: 1- display current information in nLCA-IVM, and 0 - otherwise
%==========================================================================
% Output:
%--------------------
% Y is the N by L extracted source matrix
% iter_cnt is the total number of iterations passed by nLCA-IVM
% time: computation time (seconds)
%==========================================================================
Any questions and suggestions are very welcome. Please send to
Fa-Yu Wang, E-mail: fayuwang@gmail.com
Tsung-Han Chan, email: chanchantsunghan@gmail.com
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