A Highly Accurate Classification of TM Data through Correction of Atmospheric Effects
Atmospheric correction impacts on the accuracy of satellite image-based land cover classification are a growing concern among scientists. In this study, the principle objective was to enhance classification accuracy by minimizing contamination effects from aerosol scattering in Landsat TM images due...
Main Authors: | Bill Smith, Frank Scarpace, Widad Elmahboub |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2009-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/1/3/278/ |
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