当坐标在 json 文件中给出时，谁能告诉如何对 tiff 图像进行地理配准？答案

【问题标题】：Can anyone tell how to georeference a tiff image when the coordinates are given in a json file?当坐标在 json 文件中给出时，谁能告诉如何对 tiff 图像进行地理配准？
【发布时间】：2021-12-02 09:12:18
【问题描述】：

我想使用深度学习方法进行作物分类。我收集了加纳作物类型的数据集。我的数据集包含 tiff 图像和 json 文件。 tiff 文件没有地理参考。 json 文件如下所示：

{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-2,8],[1,8],[1,11],[-2,11],[-2,8]]]},"properties":{"anon:size":3,"anon:warning":"WARNING: The item geometries in this collection have been anonymized such that they exist somewhere within the bounding box listed within that item's geometry.","datetime":"2017-01-02T00:00:00","id":"su_african_crops_ghana_source_planet_000000_2017_01_02"}}
]}```

How to make the tiff image georeferenced using this json file for my deep learning project. I want to do pixel-wise classification. Can anyone help to make the tiff image georeferenced? Is there any way to do it in python? 
Thank you.

【问题讨论】：

标签： json deep-learning tiff

【解决方案1】：

您需要遵循以下步骤：

Open GeoJson with list of areas to crop
- Iterate over the the list of area
-- Find the raster that contains the crop area  
-- Create a new raster dataset using metadata from raster you found
-- Get the bounding box from an area to crop from geojson 
-- Read the 3 color bands using the bounding box into numpy array
-- Write the numpy array to the newly created raster

【讨论】：