Please use this identifier to cite or link to this item: http://idr.nitk.ac.in/jspui/handle/123456789/7478
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSuresh, S.
dc.contributor.authorDas, D.
dc.contributor.authorLal, S.
dc.date.accessioned2020-03-30T09:59:12Z-
dc.date.available2020-03-30T09:59:12Z-
dc.date.issued2018
dc.identifier.citation2017 9th International Conference on Advanced Computing, ICoAC 2017, 2018, Vol., , pp.9-14en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7478-
dc.description.abstractResearches in satellite image enhancement have been particularly confined to two major areas-contrast enhancement and image de noising of remote sensing images. The processing of relatively dark or shadowed images necessitates the need for robust remote sensing enhancement techniques. In this paper, a robust framework for quality enhancement of multispectral remote sensing images is proposed. The quantitative results of proposed algorithm and other existing remote sensing enhancement algorithms are calculated in terms of DE, NIQMC, BIQME, PisDist and CM on different remote sensing and other image databases. Results reveal that visual enhancement of the proposed algorithm is better than other existing remote sensing enhancement algorithms. Finally, the simulation experimental results show that proposed algorithm is effective and efficient for remotes sensing as well as natural images. � 2017 IEEE.en_US
dc.titleA Framework for Quality Enhancement of Multispectral Remote Sensing Imagesen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.