高光谱图像可视化增强matlab和python
高光谱图像可视化 视觉增强函数。
·
高光谱图像可视化 视觉增强matlab函数
function I=rsshow_bandwise(I, scale)
if nargin==1
scale=0.005;
end
I = double(I);
for i = 1:size(I,3)
band = I(:,:,i);
q = quantile(band(:),[scale, 1-scale]);
[low, high] = deal(q(1),q(2));
band(band>high) = high;
band(band<low) = low;
band = (band-low)/(high-low);
I(:,:,i)=band;
end
end
function I = normalize(I)
low = min(I(:));
high = max(I(:));
I = (I - low) / (high - low);
end
高光谱图像可视化 视觉增强python函数
def rsshow_bandwise(I, scale=0.005):
num_band = I.shape[-1]
I = I.astype(np.double)
for i in range(num_band):
band = I[:,:,i]
low, high = np.quantile(band, [scale, 1-scale])
band[band > high] = high
band[band < low] = low
band = (band-low)/(high-low)
I[:, :, i] = band
return I
def rsshow(I, scale=0.005):
low, high = np.quantile(I, [scale, 1-scale])
I[I > high] = high
I[I < low] = low
I = (I-low)/(high-low)
return I
def normalize(I):
low, high = I.min(), I.max()
I = (I - low) / (high - low)
return I
开放原子开发者工作坊旨在鼓励更多人参与开源活动,与志同道合的开发者们相互交流开发经验、分享开发心得、获取前沿技术趋势。工作坊有多种形式的开发者活动,如meetup、训练营等,主打技术交流,干货满满,真诚地邀请各位开发者共同参与!
更多推荐
已为社区贡献2条内容
所有评论(0)