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Shadow Detection in High Resolution Remote Sensing Aerial Images using Relative Radiometric Correction Method and Polynomial Fitting

Author(s):

M. Venkata Ramana Reddy , RAVINDRA COLLEGE OF ENGINEERING FOR WOMEN,; G. Sreenivasulu, RAVINDRA COLLEGE OF ENGINEERING FOR WOMEN,

Keywords:

Relative Radiometric Correction; Polynomial Fitting; Shadow Detection

Abstract

High resolution color remote sensing Aerial images and also undertaken to remove the shaded region in the both urban, rural areas and manmade buildings. The existing methods are Model-based method and shadow-feature-based methods, to detect the shaded region and then eliminate that region, but it have some drawbacks. Shadows may cause incorrect results during change detection. It is not suitable for high resolution images. The proposed Relative Radiometric Correction Method used for shadow detection. Shadow detection is used during image segmentation. Shadows are removed by using the homogeneous sections obtained by line pair matching. There are two approaches for shadow removal. One approach calculates the radiation parameter according to the homogeneous points of each object and then applies the relative radiation correction to each object. The other approach collects and analyzes all the homogeneous sections for polynomial fitting (PF) and retrieves all shadows directly with the obtained fitting parameters.

Other Details

Paper ID: IJSRDV6I120199
Published in: Volume : 6, Issue : 12
Publication Date: 01/03/2019
Page(s): 282-288

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