Python实现读取mat、tif和hdr格式数据

import scipy.io as sio

path = r'../01_dataset/data_mat.mat'  #数据路径
data_01 = sio.loadmat(path)['data']   #读取数据

import imageio

path = r'../01_dataset/data.tif'  #数据路径  
data_02 = imageio.imread(path).transpose(1,2,0)  #读取数据，并将光谱维放到第三维

from osgeo import gdal

# 定义一个读取tif数据的函数  
def readTif(fileName):  
    dataset = gdal.Open(fileName)  
    if dataset == None:  
        print(fileName+"文件无法打开")  
    return dataset

path = r'../01_dataset/data.tif'  #数据路径 
data_03 = readTif(path)  #读取数据

import spectral
import numpy as np

path = r'../01_dataset/data_hdr.hdr'  #数据路径 
data_04 = spectral.open_image(path)  #读取数据
img = data_04.load()  #加载数据

img = np.array(img)  #一般需要将数据转为数组形式

pip install pillow

from PIL import Image
import numpy as np

img = Image.open('example.tif')

import cv2
import numpy as np
# 读取tiff文件
im = cv2.imread('example.tiff', cv2.IMREAD_UNCHANGED)
# 显示图像
cv2.imshow('Image', im)
cv2.waitKey(0)
cv2.destroyAllWindows()
# 打印图像尺寸和通道数
print('Image size:', im.shape[:2])
print('Channels:', im.shape[2])