True-4-corners-of-a-Remote-sensing-imagery

Locate the true 4 corners of a remote sensing imagery

NOTE: This is originally designed for processing WorldView-2 images. Please feel free to modify the script as needed.

Acknowlegement:

@ Script Created on November 5th 2018

@ Author: Weixing Zhang

@ Purpose: Calculate the true four corners of a remote sensing imagery

@ python 2.76

@ Required modules: gdal, os.path, numpy, and argparse

I learned and gained a lot of help from Python community. Thank you! I share this script mainly because back then, I could not find a easy-to-use Python script to calculate the true four corners of a remote sensing imagery, which would exclude the blank areas.

@Prerequirement Install gdal module

Download gdal if you don't have it installed on your Machine (http://www.lfd.uci.edu/~gohlke/pythonlibs/)
After downloaded gdal.whl, open your command prompt, cmd

cd /Downloads
cmd

pip install xxxx.whl

How to use the script:

cmd:

python true4corners.py C:\sample_NDVI.tif

import the script as a module

import true4corners
rs_img_path = r"C:\sample_NDVI.tif"
info_image = true4corners.true4corner(rs_img_path) # is a list of image ID, x1, ...

OUTPUT FORMAT

Image ID: 1030010084969100 
x1: 72.1315
y1: 142.123
x2: 73.141
y2: 142.123
x3: 73.141
y3: 140.512
x4:  72.1315
y4:  140.512
Date: 2018-09-10
Image Cloud: 0%
Sensor: WV02

Weixing-Zhang/True-4-corners-of-a-Remote-sensing-imagery

True-4-corners-of-a-Remote-sensing-imagery