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STUDY OF IMAGE RESTORATION TECHNIQUES FOR REMOTE SENSING IMAGES IN AGRICULTURE FIELD

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Author(s): HUMBE V.T., PATIL Y.S. and PATIL Y.B.

Journal: International Journal of Machine Intelligence
ISSN 0975-2927

Volume: 3;
Issue: 3;
Start page: 138;
Date: 2011;
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Keywords: Image Processing | Image restoration | Remote Sensing | Noise | Degradation | Filtering

ABSTRACT
In this paper, we consider the problem of remotely sensed image. Data recorded by sensors on a satellite or aircraft contain errors related to geometry and brightness values of the pixels in agriculture field. These errors are corrected using different image processing operations like image restoration, image enhancement, image transformation, image classification. Different image restoration techniques are used to extract useful information from the images.Aim of this research paper to provide a concise overview of the most useful restoration methods. Different type of image restoration techniques like spatial filter, median filter, wiener filter and wavelet based filter are described and the strengths and weaknesses of each approach are identified. Examples of remote sensing technique for agriculture field given. To provide guidelines for choosing a restoration technique for agriculture application, a comparison of the restoration techniques is made. The restoration methods are compared and evaluated based on quantitative and qualitative analysis.
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