Change-Detection-in-Satellite-Imagery-master
所属分类：图形图像处理
开发工具：Python
文件大小：1063KB
下载次数：25
上传日期：2018-09-14 13:38:58
上 传 者：
Danielwon
说明： 利用遥感图像进行变化检测，对接下来研究提供帮助。
(change detection Remote sensing images are used for change detection, and help to provide further research)
文件列表:
Andasol_09051987.jpg (382380, 2017-11-25)
Andasol_09122013.jpg (423504, 2017-11-25)
PCAKmeans.py (3191, 2017-11-25)
cleanchangemap.jpg (75137, 2017-11-25)
diff.jpg (261591, 2017-11-25)
# Change-Detection-in-Satellite-Imagery
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
Best thing would be to follow my blog-post for implementation. The description about how the change detection is performed on satellite imagery can be read from my blog:
https://appliedmachinelearning.wordpress.com/2017/11/25/unsupervised-changed-detection-in-multi-temporal-satellite-images-using-pca-k-means-python-code/
I have also uploaded sample images of multi-temporal pairs taken from the LANDSAT images available United States Geological Survey (USGS) website.
It is a python implementation using Scikit-learn ML library.
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