{"id":1128718,"date":"2025-01-08T20:23:07","date_gmt":"2025-01-08T12:23:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1128718.html"},"modified":"2025-01-08T20:23:23","modified_gmt":"2025-01-08T12:23:23","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e9%81%a5%e6%84%9f%e5%bd%b1%e5%83%8f%e4%bf%9d%e5%ad%98%e4%b8%batif","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1128718.html","title":{"rendered":"python\u5982\u4f55\u5c06\u9065\u611f\u5f71\u50cf\u4fdd\u5b58\u4e3atif"},"content":{"rendered":"

\"python\u5982\u4f55\u5c06\u9065\u611f\u5f71\u50cf\u4fdd\u5b58\u4e3atif\"<\/p>\n

Python\u5982\u4f55\u5c06\u9065\u611f\u5f71\u50cf\u4fdd\u5b58\u4e3aTIF<\/strong><\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u5c06\u9065\u611f\u5f71\u50cf\u4fdd\u5b58\u4e3aTIF\u683c\u5f0f\u7684\u4e3b\u8981\u65b9\u6cd5\u6709\u4f7f\u7528GDAL\u5e93\u3001\u4f7f\u7528Rasterio\u5e93\u3001\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u3001\u8bbe\u7f6e\u6295\u5f71\u4e0e\u5750\u6807\u7cfb<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528GDAL\u5e93<\/strong>\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u652f\u6301\u591a\u79cd\u5f71\u50cf\u683c\u5f0f\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528GDAL\u5e93\u6765\u4fdd\u5b58\u9065\u611f\u5f71\u50cf\u4e3aTIF\u683c\u5f0f\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5\u5fc5\u8981\u7684Python\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86\u5fc5\u8981\u7684Python\u5e93\u3002\u6700\u5e38\u7528\u7684\u5e93\u662fGDAL\u548cRasterio\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install gdal<\/p>\n
pip install rasterio<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528GDAL\u5e93\u4fdd\u5b58\u9065\u611f\u5f71\u50cf\u4e3aTIF<\/h3>\n<\/p>\n
1\u3001\u5bfc\u5165GDAL\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165GDAL\u5e93\uff1a<\/p>\n<\/p>\n
from osgeo import gdal, osr<\/p>\n
<\/code><\/pre>\n<\/p>\n
GDAL\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u5730\u7406\u7a7a\u95f4\u6570\u636e\uff0c\u5305\u62ec\u8bfb\u53d6\u3001\u5199\u5165\u548c\u8f6c\u6362\u5404\u79cd\u5f71\u50cf\u683c\u5f0f\u3002<\/p>\n<\/p>\n
2\u3001\u8bfb\u53d6\u5f71\u50cf\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528GDAL\u5e93\u7684Open<\/code>\u51fd\u6570\u6765\u8bfb\u53d6\u9065\u611f\u5f71\u50cf\u6570\u636e\uff1a<\/p>\n<\/p>\n
dataset = gdal.Open('input_image.tif', gdal.GA_ReadOnly)<\/p>\n
<\/code><\/pre>\n<\/p>\n
input_image.tif<\/code>\u662f\u8f93\u5165\u7684\u9065\u611f\u5f71\u50cf\u6587\u4ef6\u3002gdal.GA_ReadOnly<\/code>\u8868\u793a\u4ee5\u53ea\u8bfb\u6a21\u5f0f\u6253\u5f00\u6587\u4ef6\u3002<\/p>\n<\/p>\n
3\u3001\u83b7\u53d6\u5f71\u50cf\u4fe1\u606f<\/h4>\n<\/p>\n
\u5728\u4fdd\u5b58\u5f71\u50cf\u4e4b\u524d\uff0c\u9700\u8981\u83b7\u53d6\u4e00\u4e9b\u57fa\u672c\u4fe1\u606f\uff0c\u5982\u5f71\u50cf\u7684\u884c\u6570\u3001\u5217\u6570\u548c\u6ce2\u6bb5\u6570\uff1a<\/p>\n<\/p>\n
cols = dataset.RasterXSize<\/p>\n
rows = dataset.RasterYSize<\/p>\n
bands = dataset.RasterCount<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u521b\u5efa\u8f93\u51fa\u5f71\u50cf\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528GetDriverByName<\/code>\u51fd\u6570\u83b7\u53d6GDAL\u9a71\u52a8\uff0c\u7136\u540e\u521b\u5efa\u65b0\u7684TIF\u5f71\u50cf\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
driver = gdal.GetDriverByName('GTiff')<\/p>\n
out_dataset = driver.Create('output_image.tif', cols, rows, bands, gdal.GDT_Byte)<\/p>\n
<\/code><\/pre>\n<\/p>\n
output_image.tif<\/code>\u662f\u8f93\u51fa\u7684TIF\u5f71\u50cf\u6587\u4ef6\uff0cgdal.GDT_Byte<\/code>\u8868\u793a\u6570\u636e\u7c7b\u578b\u4e3a8\u4f4d\u65e0\u7b26\u53f7\u6574\u578b\u3002<\/p>\n<\/p>\n
5\u3001\u8bbe\u7f6e\u6295\u5f71\u548c\u5750\u6807\u7cfb<\/h4>\n<\/p>\n
\u4ece\u8f93\u5165\u5f71\u50cf\u83b7\u53d6\u6295\u5f71\u548c\u5730\u7406\u53d8\u6362\u4fe1\u606f\uff0c\u5e76\u5e94\u7528\u5230\u8f93\u51fa\u5f71\u50cf\uff1a<\/p>\n<\/p>\n
out_dataset.SetGeoTransform(dataset.GetGeoTransform())<\/p>\n
out_dataset.SetProjection(dataset.GetProjection())<\/p>\n
<\/code><\/pre>\n<\/p>\n
6\u3001\u5199\u5165\u5f71\u50cf\u6570\u636e<\/h4>\n<\/p>\n
\u9010\u6ce2\u6bb5\u5199\u5165\u5f71\u50cf\u6570\u636e\uff1a<\/p>\n<\/p>\n
for i in range(1, bands + 1):<\/p>\n
    band = dataset.GetRasterBand(i)<\/p>\n
    out_dataset.GetRasterBand(i).WriteArray(band.ReadAsArray())<\/p>\n
<\/code><\/pre>\n<\/p>\n
7\u3001\u5173\u95ed\u5f71\u50cf\u6587\u4ef6<\/h4>\n<\/p>\n
\u6700\u540e\uff0c\u5173\u95ed\u5f71\u50cf\u6587\u4ef6\u4ee5\u786e\u4fdd\u6570\u636e\u5199\u5165\u5b8c\u6210\uff1a<\/p>\n<\/p>\n
dataset = None<\/p>\n
out_dataset = None<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Rasterio\u5e93\u4fdd\u5b58\u9065\u611f\u5f71\u50cf\u4e3aTIF<\/h3>\n<\/p>\n
1\u3001\u5bfc\u5165Rasterio\u5e93<\/h4>\n<\/p>\n
import rasterio<\/p>\n
from rasterio.enums import Resampling<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6\u5f71\u50cf\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528Rasterio\u5e93\u7684open<\/code>\u51fd\u6570\u8bfb\u53d6\u5f71\u50cf\u6570\u636e\uff1a<\/p>\n<\/p>\n
with rasterio.open('input_image.tif') as src:<\/p>\n
    data = src.read()<\/p>\n
    profile = src.profile<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u8bbe\u7f6e\u8f93\u51fa\u5f71\u50cf\u6587\u4ef6<\/h4>\n<\/p>\n
\u521b\u5efa\u65b0\u7684TIF\u5f71\u50cf\u6587\u4ef6\uff0c\u5e76\u8bbe\u7f6e\u76f8\u5173\u53c2\u6570\uff1a<\/p>\n<\/p>\n
profile.update(<\/p>\n
    dtype=rasterio.uint8,<\/p>\n
    count=data.shape[0],<\/p>\n
    compress='lzw'<\/p>\n
)<\/p>\n
with rasterio.open('output_image.tif', 'w', profile) as dst:<\/p>\n
    dst.write(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6570\u636e\u9884\u5904\u7406<\/h3>\n<\/p>\n
\u5728\u4fdd\u5b58\u5f71\u50cf\u4e4b\u524d\uff0c\u53ef\u80fd\u9700\u8981\u8fdb\u884c\u4e00\u4e9b\u6570\u636e\u9884\u5904\u7406\uff0c\u5982\u53bb\u566a\u3001\u589e\u5f3a\u5bf9\u6bd4\u5ea6\u7b49\u3002\u8fd9\u53ef\u4ee5\u4f7f\u7528Python\u7684\u56fe\u50cf\u5904\u7406\u5e93\u5982OpenCV\u6216PIL\u6765\u5b8c\u6210\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528OpenCV\u8fdb\u884c\u9884\u5904\u7406<\/h4>\n<\/p>\n
\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n
pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8bfb\u53d6\u5f71\u50cf\u6570\u636e\u5e76\u8fdb\u884c\u9884\u5904\u7406\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
import numpy as np<\/p>\n
\u8bfb\u53d6\u5f71\u50cf\u6570\u636e<\/strong><\/h2>\n
image = cv2.imread('input_image.tif')<\/p>\n
\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
\u5e94\u7528\u9ad8\u65af\u6a21\u7cca<\/strong><\/h2>\n
blurred_image = cv2.GaussianBlur(gray_image, (5, 5), 0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u8bbe\u7f6e\u6295\u5f71\u4e0e\u5750\u6807\u7cfb<\/h3>\n<\/p>\n
\u5728\u5730\u7406\u4fe1\u606f\u7cfb\u7edf\u4e2d\uff0c\u6295\u5f71\u548c\u5750\u6807\u7cfb\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002GDAL\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u8bbe\u7f6e\u6295\u5f71\u548c\u5750\u6807\u7cfb\u3002<\/p>\n<\/p>\n
1\u3001\u83b7\u53d6\u6295\u5f71\u4fe1\u606f<\/h4>\n<\/p>\n
\u4ece\u8f93\u5165\u5f71\u50cf\u83b7\u53d6\u6295\u5f71\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
srs = osr.SpatialReference()<\/p>\n
srs.ImportFromWkt(dataset.GetProjection())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5e94\u7528\u6295\u5f71\u4fe1\u606f\u5230\u8f93\u51fa\u5f71\u50cf<\/h4>\n<\/p>\n
out_dataset.SetProjection(srs.ExportToWkt())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u5c06\u9065\u611f\u5f71\u50cf\u4fdd\u5b58\u4e3aTIF\u683c\u5f0f\u3002\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528GDAL\u5e93\u3001\u4f7f\u7528Rasterio\u5e93\u3001\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u3001\u8bbe\u7f6e\u6295\u5f71\u4e0e\u5750\u6807\u7cfb<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528GDAL\u5e93<\/strong>\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u529f\u80fd\u5f3a\u5927\u4e14\u652f\u6301\u591a\u79cd\u5f71\u50cf\u683c\u5f0f\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5e93\u5904\u7406\u9065\u611f\u5f71\u50cf\u5e76\u4fdd\u5b58\u4e3aTIF\u683c\u5f0f\uff1f<\/strong>
Python\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u5904\u7406\u9065\u611f\u5f71\u50cf\uff0c\u5982Rasterio\u548cGDAL\u3002Rasterio\u662f\u4e00\u4e2a\u7279\u522b\u9002\u5408\u4e8e\u5904\u7406\u5730\u7406\u6570\u636e\u7684\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u3001\u5199\u5165\u548c\u8f6c\u6362\u9065\u611f\u5f71\u50cf\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u76f8\u5e94\u7684\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5\uff0c\u4f8b\u5982\uff1apip install rasterio<\/code>\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528Rasterio\u8bfb\u53d6\u5f71\u50cf\u6570\u636e\u5e76\u5c06\u5176\u4fdd\u5b58\u4e3aTIF\u683c\u5f0f\uff0c\u4ee3\u7801\u793a\u4f8b\u53ef\u4ee5\u53c2\u8003\u5b98\u65b9\u6587\u6863\u3002<\/p>\n
\u4fdd\u5b58\u9065\u611f\u5f71\u50cf\u4e3aTIF\u683c\u5f0f\u65f6\u6709\u54ea\u4e9b\u6ce8\u610f\u4e8b\u9879\uff1f<\/strong>
\u5728\u4fdd\u5b58\u9065\u611f\u5f71\u50cf\u4e3aTIF\u683c\u5f0f\u65f6\uff0c\u9700\u8981\u8003\u8651\u5f71\u50cf\u7684\u5750\u6807\u53c2\u8003\u7cfb\u7edf\u3001\u6570\u636e\u7c7b\u578b\u548c\u538b\u7f29\u9009\u9879\u3002\u786e\u4fdd\u5f71\u50cf\u7684\u6295\u5f71\u4fe1\u606f\u6b63\u786e\uff0c\u4ee5\u4fbf\u5728GIS\u8f6f\u4ef6\u4e2d\u80fd\u591f\u6b63\u786e\u663e\u793a\u3002\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\uff08\u5982uint8\u3001float32\u7b49\uff09\u4e5f\u5f88\u91cd\u8981\uff0c\u8fd9\u5c06\u5f71\u54cd\u5f71\u50cf\u7684\u8d28\u91cf\u548c\u6587\u4ef6\u5927\u5c0f\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u9009\u62e9\u9002\u5f53\u7684\u538b\u7f29\u7b97\u6cd5\u6765\u51cf\u5c11\u6587\u4ef6\u4f53\u79ef\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u538b\u7f29\u53ef\u80fd\u4f1a\u5f71\u54cd\u8bfb\u5199\u901f\u5ea6\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u5c06\u591a\u6ce2\u6bb5\u9065\u611f\u5f71\u50cf\u4fdd\u5b58\u4e3a\u5355\u4e2aTIF\u6587\u4ef6\uff1f<\/strong>
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