Thin fog, which often appears in remote sensing image of subtropical climate region, has resulted in the low image
quantity and bad image mapping. Therefore, it is necessary to develop the image processing method to retrieve land
cover information under thin fog. In this paper, the Landsat TM image near the Taihu Lake that is in the subtropical
climate zone of China was used as an example, and the workflow and method used to retrieve the land cover information
under thin fog have been built based on ENVI software and a single TM image. The basic step covers three parts: 1)
isolating the thin fog area in image according to the spectral difference of different bands; 2) retrieving the visible band
information of different land cover types under thin fog from the near-infrared bands according to the relationships
between near-infrared bands and visible bands of different land cover types in the area without fog; 3) image post-process.
The result showed that the method in the paper is easy and suitable, and can be used to improve the quantity of
TM image mapping more effectively.
"Retrieval of land cover information under thin fog in Landsat TM image", Proc. SPIE 7000, Optical and Digital Image Processing, 700026 (6 May 2008); doi: 10.1117/12.780929; https://doi.org/10.1117/12.780929