matlab代码：已知有400乘400分辨率的蓝、绿、红、近红外四波段多光谱图象和一张1600乘1600全色图象，参照成分替换和多分辨率分析融合方法，进行遥感图象融合

以下是基于成分替换和多分辨率分析融合方法的MATLAB代码示例：

% 读取多光谱图像
blue = imread('blue.tif');
green = imread('green.tif');
red = imread('red.tif');
nir = imread('nir.tif');

% 读取全色图像
pan = imread('pan.tif');

% 将多光谱图像进行重采样，使其分辨率与全色图像相同
blue = imresize(blue, [1600, 1600]);
green = imresize(green, [1600, 1600]);
red = imresize(red, [1600, 1600]);
nir = imresize(nir, [1600, 1600]);

% 进行成分替换融合
rgb = cat(3, red, green, blue);
ycbcr = rgb2ycbcr(rgb);
ycbcr(:,:,1) = histeq(pan);
rgb_fused = ycbcr2rgb(ycbcr);

% 进行多分辨率分析融合
r1 = imresize(red, 0.5);
g1 = imresize(green, 0.5);
b1 = imresize(blue, 0.5);
n1 = imresize(nir, 0.5);
pan1 = imresize(pan, 0.5);

r2 = imresize(red, 0.25);
g2 = imresize(green, 0.25);
b2 = imresize(blue, 0.25);
n2 = imresize(nir, 0.25);
pan2 = imresize(pan, 0.25);

r3 = imresize(red, 0.125);
g3 = imresize(green, 0.125);
b3 = imresize(blue, 0.125);
n3 = imresize(nir, 0.125);
pan3 = imresize(pan, 0.125);

r4 = imresize(red, 0.0625);
g4 = imresize(green, 0.0625);
b4 = imresize(blue, 0.0625);
n4 = imresize(nir, 0.0625);
pan4 = imresize(pan, 0.0625);

% 将全色图像和多分辨率多光谱图像进行融合
rgb_fused = pan;
rgb_fused(:,:,2) = imresize(g1, 2) + imresize(g2, 4) + imresize(g3, 8) + imresize(g4, 16);
rgb_fused(:,:,3) = imresize(b1, 2) + imresize(b2, 4) + imresize(b3, 8) + imresize(b4, 16);
rgb_fused(:,:,1) = imresize(r1, 2) + imresize(r2, 4) + imresize(r3, 8) + imresize(r4, 16);

% 显示融合后的图像
imshow(rgb_fused);

需要注意的是，这只是一个示例代码，具体的融合方法和参数需要根据实际情况进行调整和优化。