Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Remote Sensing Data Feature Analysis Using Spatial Linear Embedding (SLE)

Authors
Lifang Xue, Xiushuang Yi, Xiumei Liu, Jie Li
Corresponding Author
Lifang Xue
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.17How to use a DOI?
Keywords
Spatial linear embedding; Remote sensing data feature analysis; Manifold learning.
Abstract
Dimensionality reduction has been used to reduce the complexity of the representation of remote sensing data. In this paper, a novel remote sensing data feature analysis method is proposed based on an improved manifold learning algorithm--spatial linear embedding. The purpose of feature extraction is to reduce the dimensionality of the remote sensing data while preserving the significant information. Compared with LLE, spatial linear embedding method emphasizes the relation of neighboring pixels spatially to increase system efficiency.The method makes up the shortage that LLE ignores the relation of neighboring pixels spatially which is extremely important for remote sensing data. In this paper we have obtain experiment results from the analysis of remote sensing data using PCA and spatial linear embedding. The results show that the SLEcan give significantly higher accuracies than the linear method of PCA.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lifang Xue
AU  - Xiushuang Yi
AU  - Xiumei Liu
AU  - Jie Li
PY  - 2015/12
DA  - 2015/12
TI  - Remote Sensing Data Feature Analysis Using Spatial Linear Embedding (SLE)
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.17
DO  - https://doi.org/10.2991/icmmcce-15.2015.17
ID  - Xue2015/12
ER  -