Haze Detection and Removal in Remotely Sensed Multispectral Imagery

  title={Haze Detection and Removal in Remotely Sensed Multispectral Imagery},
  author={Aliaksei Makarau and Rudolf Richter and Rupert M{\"u}ller and Peter Reinartz},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
Haze degrades optical data and reduces the accuracy of data interpretation. Haze detection and removal is a challenging and important task for optical multispectral data correction. This paper presents an empirical and automatic method for inhomogeneous haze detection and removal in medium- and high-resolution satellite optical multispectral images. The dark-object subtraction method is further developed to calculate a haze thickness map, allowing a spectrally consistent haze removal on… 
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