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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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← Back to VOLUME 2, ISSUE 7, JULY 2013

A Neural-Wavelet Based Image Classification For Feature Extraction Of A Multispectral Remote Sensing Data

MOHIT KUMAR, JATINDER SINGH Research Scholar, ECE Department, S.L.I.E.T. Deemed University, Longowal Sangrur Punjab, India Assistant Professor, ECE Department, S.L.I.E.T. Deemed University, Longowal Sangrur Punjab, India

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Abstract: The objective of this paper is to utilize the extracted features obtained by the wavelet transform rather than the original multispectral features of remote-sensing images for landcover classification. WT provides the spatial and spectral characteristics of a pixel along with its neighbors and hence, this can be utilized for an improved classification. And the combination of remote sensing and geographic ancillary data is believed to offer improved accuracy in land cover classification. This paper focuses on the Image Analysis of Remote Sensing Data Integrating Spectral and Spatial Features of Objects in the area of satellite image processing. Here multi-spectral remote sensing data is used to find the spectral signature of different objects.

Keywords: Remote sensing, Spectral wavelength, Multi-spectral images Wavelet Transform and ANN

How to Cite:

[1] MOHIT KUMAR, JATINDER SINGH Research Scholar, ECE Department, S.L.I.E.T. Deemed University, Longowal Sangrur Punjab, India Assistant Professor, ECE Department, S.L.I.E.T. Deemed University, Longowal Sangrur Punjab, India, “A Neural-Wavelet Based Image Classification For Feature Extraction Of A Multispectral Remote Sensing Data,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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