import gdal
def readTif(fileName):
 dataset = gdal.Open(fileName)
 if dataset == None:
  print(fileName+"文件无法打开")
  return
 im_width = dataset.RasterXSize #栅格矩阵的列数
 im_height = dataset.RasterYSize #栅格矩阵的行数
 im_bands = dataset.RasterCount #波段数
 im_data = dataset.ReadAsArray(0,0,im_width,im_height)#获取数据
 im_geotrans = dataset.GetGeoTransform()#获取仿射矩阵信息
 im_proj = dataset.GetProjection()#获取投影信息
 im_blueBand = im_data[0,0:im_height,0:im_width]#获取蓝波段
 im_greenBand = im_data[1,0:im_height,0:im_width]#获取绿波段
 im_redBand = im_data[2,0:im_height,0:im_width]#获取红波段
 im_nirBand = im_data[3,0:im_height,0:im_width]#获取近红外波段

#保存tif文件函数
import gdal
import numpy as np
def writeTiff(im_data,im_width,im_height,im_bands,im_geotrans,im_proj,path):
 if 'int8' in im_data.dtype.name:
  datatype = gdal.GDT_Byte
 elif 'int16' in im_data.dtype.name:
  datatype = gdal.GDT_UInt16
 else:
  datatype = gdal.GDT_Float32

 if len(im_data.shape) == 3:
  im_bands, im_height, im_width = im_data.shape
 elif len(im_data.shape) == 2:
  im_data = np.array([im_data])
 else:
  im_bands, (im_height, im_width) = 1,im_data.shape
  #创建文件
 driver = gdal.GetDriverByName("GTiff")
 dataset = driver.Create(path, im_width, im_height, im_bands, datatype)
 if(dataset!= None):
  dataset.SetGeoTransform(im_geotrans) #写入仿射变换参数
  dataset.SetProjection(im_proj) #写入投影
 for i in range(im_bands):
  dataset.GetRasterBand(i+1).WriteArray(im_data[i])
 del dataset