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Supervised Techniques and Approaches for Satellite Image Classification
by
Minu Nair S.,
Bindhu J.S.
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 134 - Number 16 |
| Year of Publication: 2016 |
| Authors: Minu Nair S., Bindhu J.S. |
10.5120/ijca2016908202
|
Minu Nair S., Bindhu J.S. . Supervised Techniques and Approaches for Satellite Image Classification. International Journal of Computer Applications. 134, 16 ( January 2016), 1-6. DOI=10.5120/ijca2016908202
@article{
10.5120/ijca2016908202,
author = {
Minu Nair S.,
Bindhu J.S.
},
title = { Supervised Techniques and Approaches for Satellite Image Classification },
journal = {
International Journal of Computer Applications
},
issue_date = { January 2016 },
volume = { 134 },
number = { 16 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = {
1-6
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume134/number16/23995-2016908202/
},
doi = { 10.5120/ijca2016908202 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:20.865408+05:30
%A Minu Nair S.
%A Bindhu J.S.
%T Supervised Techniques and Approaches for Satellite Image Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 16
%P 1-6
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Remote Sensing is a multi-disciplinary technique for image acquisition and measurement of information. Remote sensing analysis paved way for satellite image classification which facilitates the image interpretation of large amount of data. Satellite Images covers large geographical span and results in the exploitation of huge information which includes classifying into different sectors. Different classification algorithms exist for image classification, but with the wide range of applications an algorithm with improved performance in terms of accuracy is required. Here in this paper we analyze different methods of supervised classification, different post classification techniques, spectral contextual classification and provide a comparative study on their efficiency.
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Index Terms
Computer Science
Information Sciences
Keywords