In the precondition of the different land coverage classes response the different LSE values, an improved mono-window
algorithm retrieval the LST from Landsat-5 thermal infrared (TIR) data is presented in this paper. Four classes (built-up
area, vegetation area, bare land and water) have been selected in the experiment in Tianjin Binhai New Area. Based on
supervised classification image, the experiment result shows that precision of the retrieved LSTs from the improved
algorithm is higher than that from the single-channel algorithm.
The dust on the camera's lens will leave dark stains on the image. Calibrating and compensating the intensity of the
stained pixels play an important role in the airborne image processing. This article introduces an automatic compensation
algorithm for the dark stains. It's based on the theory of flat-field correction. We produced a whiteboard reference image
by aggregating hundreds of images recorded in one flight and use their average pixel values to simulate the uniform
white light irradiation. Then we constructed a look-up table function based on this whiteboard image to calibrate the
stained image. The experiment result shows that the proposed procedure can remove lens stains effectively and
automatically.
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