contributor author | Yu Fang | |
contributor author | Hao Li | |
contributor author | Yong Ma | |
contributor author | Kun Liang | |
contributor author | Yingjie Hu | |
contributor author | Shaojie Zhang | |
contributor author | Hongyuan Wang | |
date accessioned | 2020-03-12T23:54:52Z | |
date available | 2020-03-12T23:54:52Z | |
date issued | 2014 | |
identifier issn | 1545-598X | |
identifier other | 6779602.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1127884?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Dimensionality Reduction of Hyperspectral Images Based on Robust Spatial Information Using Locally Linear Embedding | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8307900 | |
subject keywords | computational complexity | |
subject keywords | data reduction | |
subject keywords | geophysical image processing | |
subject keywords | hyperspectral imaging | |
subject keywords | image classification | |
subject keywords | sorting | |
subject keywords | RSLLE method | |
subject keywords | hyperspectral data dimensionality reduction | |
subject keywords | hyperspectral images | |
subject keywords | locally linear embedding | |
subject keywords | robust spatial information | |
subject keywords | spatial information complexity | |
subject keywords | spatial neighbor filtering | |
subject keywords | spatial neighbor sorting | |
subject keywords | spectral-spatial distance | |
subject keywords | Accuracy | |
subject keywords | Hyperspectral imaging | |
subject keywords | Robustness | |
subject keywords | Spatial coherence | |
subject keywords | Support vector machines | |
subject keywords | Classification | |
subject keywords | dimensionality reduct | |
identifier doi | 10.1109/LGRS.2014.2306689 | |
journal title | Geoscience and Remote Sensing Letters, IEEE | |
journal volume | 11 | |
journal issue | 10 | |
filesize | 304466 | |
citations | 0 | |