python代码
import os import numpy as np from osgeo import gdal import glob import datetime # 读图像文件 def read_img(filename): dataset = gdal.Open(filename) # 打开文件 im_width = dataset.RasterXSize # 栅格矩阵的列数 im_height = dataset.RasterYSize # 栅格矩阵的行数 im_geotrans = dataset.GetGeoTransform() # 仿射矩阵 im_proj = dataset.GetProjection() # 地图投影信息 bands = dataset.RasterCount im_data = dataset.ReadAsArray(0, 0, im_width, im_height).astype(np.float32) # 将数据写成数组，对应栅格矩阵 del dataset # 关闭对象，文件dataset return im_proj, im_geotrans, im_data, im_height, im_width,bands def write_img(filename, im_proj, im_geotrans, im_data): # gdal数据类型包括 # gdal.GDT_Byte, # gdal .GDT_UInt16, gdal.GDT_Int16, gdal.GDT_UInt32, gdal.GDT_Int32, # gdal.GDT_Float32, gdal.GDT_Float64 # 判断栅格数据的数据类型 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 # 判读数组维数 if len(im_data.shape) != 1: im_bands, im_height, im_width = im_data.shape else: im_bands, (im_height, im_width) = 1, im_data.shape # 创建文件 driver = gdal.GetDriverByName("GTiff") # 数据类型必须有，因为要计算需要多大内存空间 dataset = driver.Create(filename, im_width, im_height, im_bands, datatype) dataset.SetGeoTransform(im_geotrans) # 写入仿射变换参数 dataset.SetProjection(im_proj) # 写入投影 if im_bands == 1: dataset.GetRasterBand(1).WriteArray(im_data) # 写入数组数据 else: for i in range(im_bands): dataset.GetRasterBand(i + 1).WriteArray(im_data[i]) del dataset def Nor(path,out): starttime = datetime.datetime.now() print(\'Normalization开始>>>\') for filename in glob.glob(path): a1,bandname= os.path.split(filename) print(bandname, \'开始>>>>\') substarttime = datetime.datetime.now() proj, geotrans, values, row1, column1,bands = read_img(filename) for i in range(bands): # 对每个图层进行归一化 a = np.min(values[i]) b = np.max(values[i]) values[i] =(values[i] - a) / (b - a) write_img(out+"\\" + bandname + \'.tif\', proj, geotrans, values) subendtime = datetime.datetime.now() - substarttime print(bandname, \'结束,一副影像耗费时间：\', subendtime) endtime = datetime.datetime.now() - starttime print(\'Normalization结束,花费时间:\', endtime) if __name__ == \'__main__\': path=r\'E:\湖泊测试数据\改进分水岭\125.tif\' out=r\'E:\湖泊测试数据\成果\' Nor(path,out)