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23 November 2011Haze and cloud cover recognition and removal for serial Landsat images
In this paper, a optimized algorithm to recognize and remove hazes and clouds from remotely sensed images of Landsat
MSS/TM/ETM+ over land has been proposed. This algorithm uses only the image feature to automatically recognize and
remove contamination of hazes and clouds which will prevent satellite image from assessing land surface variables.
The hazes and clouds can be detected on the base of the reflectance difference with the other regions, likes thermal
spectrum region. Based on both fourth tasseled cap parameter and a haze optimized transformation(HOT) as a measure
of haze/cloud spatial density for single Landsat MSS/TM/ETM+ image, haze and clouds can be quantitatively
recognized and removed. The performance of the proposed algorithm is demonstrated experimentally. This method can
be used for atmospheric corrections to improve landscape change detection.
Xiangsheng Kong,Yonggang Qian, andAnding Zhang
"Haze and cloud cover recognition and removal for serial Landsat images", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061K (23 November 2011); https://doi.org/10.1117/12.902875
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Xiangsheng Kong, Yonggang Qian, Anding Zhang, "Haze and cloud cover recognition and removal for serial Landsat images," Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061K (23 November 2011); https://doi.org/10.1117/12.902875