%%?直方圖匹配函數
%?將單波段的高分辨率圖像經過灰度拉伸，使其灰度的均值與方差和PCA變換第一分量圖像一致。
%?A:待匹配波段；B：參考波段

function?[result]?=?histMatch（AB）

[M1N1bs1]?=?size（A）;
[M2N2bs2]?=?size（B）;

assert（M1?==?M2?&&?N1?==?N2?&&?bs1?==?1?&&?bs2?==?1‘輸入波段不滿足條件‘）;

A_mean?=?mean（mean（A））;
B_mean?=?mean（mean（B））;

A_std?=?std2（A）;????%std2計算矩陣元素的標準差
B_std?=?std2（B）;

k1?=?B_std?/?A_std;
k2?=?B_mean?-?（k1*A_mean）;

result?=?A?*?k1?+?k2;

?屬性????????????大小?????日期????時間???名稱
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????.CA....???????494??2012-02-24?19:38??PCA遙感影像融合\histMatch.m

????.CA....?????12150??2004-06-13?15:47??PCA遙感影像融合\multi.jpg

????.CA....?????17263??2004-06-13?15:46??PCA遙感影像融合\pan.jpg

????.CA....??????2632??2012-02-24?20:13??PCA遙感影像融合\pcaFusion.m

????.C.D...?????????0??2012-02-24?20:14??PCA遙感影像融合

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????????????????32539????????????????????5