NDLI: Analysis of image fusion techniques over multispectral and microwave SAR images

Content Provider	IEEE Xplore Digital Library
Author	Gupta, V.K. Neog, A. Katiyar, S.K.
Copyright Year	2013
Description	Author affiliation: Civil Eng. Dept., Maulana Azad Nat. Inst. of Technol., Bhopal, India (Katiyar, S.K.) \|\| M.Tech. Geoinf. & Its Applic., Maulana Azad Nat. Inst. of Technol., Bhopal, India (Gupta, V.K.; Neog, A.)
Abstract	In remote sensing applications, the increasing availability of space borne sensors gives a motivation for different image fusion algorithms. Remote sensing image fusion aims at integrating the information conveyed by data acquired which cover different portions of the electromagnetic spectrum at different spatial, temporal and spectral resolutions; so that we can get multi-temporal, multi-resolution and multi-frequency image data for purposes of feature extraction, modeling and classification. The composite or fused image is more useful for human perception as well as for automatic computer analysis task such as feature extraction, segmentation and object recognition. In India, Indian Space Research Organization has recently launched RISAT -1 having microwave imaging sensor and we have used microwave SAR data in our research work for image fusion technique analysis. We have analyzed the Intensity-Hue-Saturation (IHS) transformation, principal component analysis (PCA) and wavelet transform (WT) based fusion techniques considering visual and statistical parameters.
Sponsorship	IEEE Madras Sect.
Starting Page	1037
Ending Page	1042
File Size	1162037
Page Count	6
File Format	PDF
ISBN	9781467348652
e-ISBN	9781467348669
DOI	10.1109/iccsp.2013.6577214
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earth Image registration Satellites Synthetic Aperture Radar (SAR) image Kappa Statistics Transforms Spatial resolution Image fusion Remote sensing Image Classification Accuracy Image Fusion Techniques
Content Type	Text
Resource Type	Article

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