import gdaldef 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 gdalimport numpy as npdef 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 
