A kernel spectral angle mapper algorithm for remote sensing image classification
X Liu, C Yang - 2013 6th International congress on image and …, 2013 - ieeexplore.ieee.org
A Kernel Spectral Angle Mapper (KSAM) algorithm is proposed to deal better with the
nonlinear classification problem of the remote sensing image. The so-called KSAM …
nonlinear classification problem of the remote sensing image. The so-called KSAM …
Spectral–spatial hyperspectral classification based on multi-center SAM and MRF
B Tang, Z Liu, X Xiao, M Nie, J Chang, W Jiang, X Li… - Optical Review, 2015 - Springer
In this paper, a novel framework for an accurate spectral–spatial classification of
hyperspectral images is proposed to address nonlinear classification problems. The …
hyperspectral images is proposed to address nonlinear classification problems. The …
APPLICATION OF MULTISPECTRAL IMAGES TO SEARCH FOR CONSTRUCTION OBJECTS ON THE SPECTRAL SIGNATURES BASE.
D Nazyrova, Z Aitkozha - Scientific Journal of Astana IT …, 2022 - search.ebscohost.com
The work is devoted to the study of Landsat-8 multispectral images of not high resolution
using the spectral angle method on the base of spectral signatures libraries to detect objects …
using the spectral angle method on the base of spectral signatures libraries to detect objects …