What is it about?
Here, the Fast K-Means options, namely Fast K-Means, Fast K-Means careful seeding and Fast Weighted K-Means are applied in Hyperspectral image for band reduction.
Featured Image
Photo by John Torcasio on Unsplash
Why is it important?
This work explains, how hyperspectral bands are reduced into less than 20. The reduced band is further segmented and compare the results.
Read the Original
This page is a summary of: Fast K-Means technique for hyper-spectral image segmentation by multiband reduction, Pollack Periodica, December 2019, Akademiai Kiado,
DOI: 10.1556/606.2019.14.3.19.
You can read the full text:
Contributors
The following have contributed to this page
