Haze and cloud cover recognition and removal for serial Landsat images

Xiangsheng Kong; Yonggang Qian; Anding Zhang

doi:10.1117/12.902875

23 November 2011 Haze and cloud cover recognition and removal for serial Landsat images

Xiangsheng Kong, Yonggang Qian, Anding Zhang

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061K (2011) https://doi.org/10.1117/12.902875
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

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.

Citation Download Citation

Xiangsheng Kong, Yonggang Qian, and 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

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