AK Singh, HV Kumar… - … Archives of the …, 2014 - isprs-archives.copernicus.org
In this paper, the quality metrics evaluation on hyperspectral images has been presented using k-means clustering and segmentation. After classification the assessment of similarity …
M Khoder, S Kashana, J Khoder… - Journal of Applied …, 2017 - spiedigitallibrary.org
Due to the incredible growth of high dimensional datasets, we address the problem of unsupervised methods sensitive to undergoing different variations, such as noise …
RI Luca, A Baicoianu, IC Plajer - arXiv preprint arXiv:2405.14883, 2024 - arxiv.org
Multispectral and hyperspectral images are increasingly popular in different research fields, such as remote sensing, astronomical imaging, or precision agriculture. However, the …
GM CALLICÓ, HAF GÓMEZ, SO SARMIENTO… - US Patent …, 2021 - Google Patents
A method of non-invasive detection of tumor and/or healthy tissue using hyperspectral imaging is provided. The method includes determining a pixel-wise classification of a …
NMM Banu, S Sasikumar - International Journal of Signal …, 2016 - inderscienceonline.com
Lossy compression methods for hyperspectral image have received a new attention due to the massive amount of information involved for transmission and storage. 3D-SPIHT applies …