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Content Provider | IEEE Xplore Digital Library |
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Author | Suthar, I.K. Gajjar, P.P. Mehta, K.A. |
Copyright Year | 2012 |
Abstract | In this paper, we propose a novel technique for feature preserving interpolation of multi spectral (MS) images. Given an MS image and a panchromatic (PAN), high resolution MS image is obtained by estimating the details from the PAN image. We exploit the fact that the local geometry of the low resolution MS image is similar to that of the PAN image. The image features such as edges, corners, and curves carry crucial information in remote sensing applications. We models by using local binary patterns that best capture underlying geometric information and obtain high resolution enhancement for the MS images by learning discrete wavelet coefficients of the high resolution features present in PAN image. The proposed technique has been tested on various remotely sensed images. The results show the superiority of the proposed technique over existing interpolation techniques. |
Starting Page | 143 |
Ending Page | 148 |
File Size | 830255 |
Page Count | 6 |
File Format | |
ISBN | 9781467315388 |
DOI | 10.1109/CSNT.2012.40 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-05-11 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Strontium Interpolation Local binary pattern Panchromatic images Image resolution Discrete wavelet transform Image edge detection Discrete wavelet transforms Learning HR coefficients Multispectral images Wavelet coefficients |
Content Type | Text |
Resource Type | Article |
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