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The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images

Meenu Manchanda1 , Deepak Gambhir2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-8 , Page no. 697-702, Aug-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i8.697702

Online published on Aug 31, 2018

Copyright © Meenu Manchanda, Deepak Gambhir . 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: Meenu Manchanda, Deepak Gambhir, “The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.8, pp.697-702, 2018.

MLA Style Citation: Meenu Manchanda, Deepak Gambhir "The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images." International Journal of Computer Sciences and Engineering 6.8 (2018): 697-702.

APA Style Citation: Meenu Manchanda, Deepak Gambhir, (2018). The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images. International Journal of Computer Sciences and Engineering, 6(8), 697-702.

BibTex Style Citation:
@article{Manchanda_2018,
author = {Meenu Manchanda, Deepak Gambhir},
title = {The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {8},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {697-702},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2757},
doi = {https://doi.org/10.26438/ijcse/v6i8.697702}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.697702}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2757
TI - The IHS-FTR Transformations Based Image Fusion Algorithm For Remote Sensing Images
T2 - International Journal of Computer Sciences and Engineering
AU - Meenu Manchanda, Deepak Gambhir
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 697-702
IS - 8
VL - 6
SN - 2347-2693
ER -

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Abstract

Image fusion has been attracting researchers with the aim of finding solutions to a wide area of applications. In the area of remote sensing, the increasing availability of imaging sensors, operating in a variety of spectral bands, definitely provides strong motivations. Because of the trade-off observed between sensors with a high spatial resolution with only a few spectral bands and sensors with low spatial resolution having many spectral bands, spatial enhancement of poor-resolution image and vice-versa is desirable. Thus, a new method of fusing different resolution images based on IHS transform and fuzzy transform (FTR) is proposed. The main aim is to produce a fused image with high spatial as well as high spectral resolution by fusing two images, an Ms image and a Pan image, the former with high spectral resolution but poor spatial resolution and the latter with high spatial resolution but poor spectral resolution. Experimental results obtained from the fusion of different pairs of input images prove the effectiveness of the proposed algorithm.

Key-Words / Index Term

Remote Sensing, fuzzy transform, image fusion

References

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