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A Study on Hyperspectral Remote Sensing Classifications

Published on October 2014 by T. Sarath, G. Nagalakshmi, S. Jyothi
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International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 3
October 2014
Authors: T. Sarath, G. Nagalakshmi, S. Jyothi
21e55c62-d410-4141-aef3-d8abade87fc7

T. Sarath, G. Nagalakshmi, S. Jyothi . A Study on Hyperspectral Remote Sensing Classifications. International Conference on Information and Communication Technologies. ICICT, 3 (October 2014), 5-8.

@article{
author = { T. Sarath, G. Nagalakshmi, S. Jyothi },
title = { A Study on Hyperspectral Remote Sensing Classifications },
journal = { International Conference on Information and Communication Technologies },
issue_date = { October 2014 },
volume = { ICICT },
number = { 3 },
month = { October },
year = { 2014 },
issn = 0975-8887,
pages = { 5-8 },
numpages = 4,
url = { /proceedings/icict/number3/17974-1422/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A T. Sarath
%A G. Nagalakshmi
%A S. Jyothi
%T A Study on Hyperspectral Remote Sensing Classifications
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 3
%P 5-8
%D 2014
%I International Journal of Computer Applications
Abstract

In this paper, we discuss about hyperspectral image processing where it plays an important role in remote sensing, hyperspectral verses multispectral image processing and image classifications. Where these classifications includes image sensors, image preprocessing, object detection, object segmentation, feature extraction and object classification. Mainly there are two types of classifications we are describing they are supervised and unsupervised classifications.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Hyperspectral Multispectral Image Processing Remote Sensing Classifications.