Please use this identifier to cite or link to this item:
Title: Comparison of efficient techniques of hyper-spectral image preprocessing for mineralogy and vegetation studies
Authors: Kumar, M.Vignesh
Yarrakula, Kiran
Keywords: QUAC;FLAASH;Flat field;IARR;Destripe
Issue Date: May-2017
Publisher: NISCAIR-CSIR, India
Abstract: In the present study, EO-1 hyperion data is used for processing. Out of 242 bands, 163 bands are taken in the calibrating condition. To extract the vegetation and mineralogy from hyperion imagery needs various preprocessing steps such as bad bands removal, destriping, radiometric calibration and reflectance generation. Vertical destriping process is performed with local destriping algorithm. Radiance of the imagery generates in the BIL format at the scale factor of 0.1. Log residuals, flat field correction, IARR, QUAC and FLAASH atmospheric correction methods are used to remove error from bands and generate the reflectance. Comparative analysis is also performed on various atmospheric corrections. Results showed that FLAASH is the efficient atmospheric correction method compared to other methods.
Page(s): 1008-1021
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.46(05) [May 2017]

Files in This Item:
File Description SizeFormat 
IJMS 46(5) 1008-1021.pdf1.64 MBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.