Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance
The main aim of this research work is to compare k -nearest neighbor algorithm (KNN) supervised classification with migrating means clustering unsupervised classification (MMC) method on the performance of hyperspectral and multispectral data for spectral land cover classes and develop their spectra...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Samara National Research University
2018-12-01
|
Series: | Компьютерная оптика |
Subjects: | |
Online Access: | http://computeroptics.ru/KO/PDF/KO42-6/420612.pdf |