Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

WAVELET APPLICATION IN COMPRESSION OF A REMOTE SENSED IMAGE

Authors
R. Balasubramanian, S.S. Ramakrishnan
Corresponding Author
R. Balasubramanian
Available Online August 2013.
DOI
10.2991/rsete.2013.160How to use a DOI?
Keywords
Wavelet, Bandwidth, Classifier, Lossless, Lossy, Quantized
Abstract

Present scenario gives importance to precision image representing information about remote sensing, medicine, seismic etc. which are more importance to decision makers and researchers. These precision data are of very high resolution in nature in order to give optimal information which in turn occupies higher level of disk space. The main practical problem in transmitting these information are that primarily it requires a higher bandwidth, greater time involved in reception etc. There are numerous data compression algorithms but the primary concern is that the compression should be Lossless before and after reception. This paper employs the mathematical tool ‘Wavelet’ for the precision data compression and decompression. The advantage of compression permits the decision maker to process and send back after modifications, in the base image data. Wavelets find a greater application in obtaining lossless compression technique. Wavelet decomposes the data into various frequency components that helps to study and analyze each component with a resolution matched to its scale.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.160
ISSN
1951-6851
DOI
10.2991/rsete.2013.160How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - R. Balasubramanian
AU  - S.S. Ramakrishnan
PY  - 2013/08
DA  - 2013/08
TI  - WAVELET APPLICATION IN COMPRESSION OF A REMOTE SENSED IMAGE
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 659
EP  - 662
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.160
DO  - 10.2991/rsete.2013.160
ID  - Balasubramanian2013/08
ER  -