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Classification of land cover using Data Analytics for Hyperspectral Imaging

Sakshi Suman1 , Sanjana Suman2 , Santhosh J3 , Sham Vignesh4 , K Anitha5

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 345-348, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.345348

Online published on May 15, 2019

Copyright © Sakshi Suman, Sanjana Suman, Santhosh J, Sham Vignesh, K Anitha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sakshi Suman, Sanjana Suman, Santhosh J, Sham Vignesh, K Anitha, “Classification of land cover using Data Analytics for Hyperspectral Imaging,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.345-348, 2019.

MLA Style Citation: Sakshi Suman, Sanjana Suman, Santhosh J, Sham Vignesh, K Anitha "Classification of land cover using Data Analytics for Hyperspectral Imaging." International Journal of Computer Sciences and Engineering 07.14 (2019): 345-348.

APA Style Citation: Sakshi Suman, Sanjana Suman, Santhosh J, Sham Vignesh, K Anitha, (2019). Classification of land cover using Data Analytics for Hyperspectral Imaging. International Journal of Computer Sciences and Engineering, 07(14), 345-348.

BibTex Style Citation:
@article{Suman_2019,
author = {Sakshi Suman, Sanjana Suman, Santhosh J, Sham Vignesh, K Anitha},
title = {Classification of land cover using Data Analytics for Hyperspectral Imaging},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {345-348},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1150},
doi = {https://doi.org/10.26438/ijcse/v7i14.345348}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.345348}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1150
TI - Classification of land cover using Data Analytics for Hyperspectral Imaging
T2 - International Journal of Computer Sciences and Engineering
AU - Sakshi Suman, Sanjana Suman, Santhosh J, Sham Vignesh, K Anitha
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 345-348
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

Recent advances in remote sensing technology have made hyperspectral data with hundreds of narrow contiguous bands more widely available. The hyperspectral data can, therefore, reveal narrow differences in the spectral signatures of land cover classes that appear to be similar when viewed by multispectral sensors. If successfully used, the hyperspectral data can yield higher classification accuracies and more detailed class taxonomies. In this approach, we are using deep learning and neural networks to train a model for classifying land cover using data analytics in hyperspectral imaging.

Key-Words / Index Term

Hyperspectral imaging, Land cover classification, Deep learning, Tensor flow

References

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