2017
DOI: 10.1590/s1982-21702017000100004
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A Comparison of Haze Removal Algorithms and Their Impacts on Classification Accuracy for Landsat Imagery

Abstract: Abstract:The quality of Landsat images in humid areas is considerably degraded by haze in terms of their spectral response pattern, which limits the possibility of their application in using visible and near-infrared bands. A variety of haze removal algorithms have been proposed to correct these unsatisfactory illumination effects caused by the haze contamination. The purpose of this study was to illustrate the difference of two major algorithms (the improved homomorphic filtering (HF) and the virtual cloud po… Show more

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Cited by 6 publications
(4 citation statements)
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“…The Photoscan software optimizes the camera parameters and points feature automatically. The distance between the two coordinate (GPS and total station) calculated based on the measured coordinates was evaluated by means of the Root Mean Square Error (RMSE) as to accuracy measure, using 13 checkpoints (GCP) [65].…”
Section: Resultsmentioning
confidence: 99%
“…The Photoscan software optimizes the camera parameters and points feature automatically. The distance between the two coordinate (GPS and total station) calculated based on the measured coordinates was evaluated by means of the Root Mean Square Error (RMSE) as to accuracy measure, using 13 checkpoints (GCP) [65].…”
Section: Resultsmentioning
confidence: 99%
“…The Top of Atmosphere (TOA) reflectance was applied to convert the Digital Number (DN) values in accordance with the standard protocols supplied by the USGS after the acquisition of Landsat-5 TM (2000 and2010) and Landsat OLI-TIRS (2021) imagery from the USGS website (2018). Since USGS already performed geometric corrections on Level 1T products, no additional geometric correction was done for this investigation (Xiao et al, 2017). The ENVI program is used to perform radiometric correction and improve visualization.…”
Section: Image Pre-processingmentioning
confidence: 99%
“…An image convolution filter might improve results. Several cloud removal processes have been attempted but many require multiple images of the same area or the use of the blue spectral band, which is unavailable in early Landsat imagery [47]. We have tried a partial homomorphic filter process with limited success [48].…”
Section: Success or Failure?mentioning
confidence: 99%