Automatic cloud coverage assessment of Formosat-2 image

Kuo-Hsien Hsu

doi:10.1117/12.897894

26 October 2011 Automatic cloud coverage assessment of Formosat-2 image

Kuo-Hsien Hsu

Proceedings Volume 8177, Remote Sensing of Clouds and the Atmosphere XVI; 81770S (2011) https://doi.org/10.1117/12.897894
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Formosat-2 satellite equips with the high-spatial-resolution (2m ground sampling distance) remote sensing instrument. It has been being operated on the daily-revisiting mission orbit by National Space organization (NSPO) of Taiwan since May 21 2004. NSPO has also serving as one of the ground receiving stations for daily processing the received Formosat- 2 images. The current cloud coverage assessment of Formosat-2 image for NSPO Image Processing System generally consists of two major steps. Firstly, an un-supervised K-means method is used for automatically estimating the cloud statistic of Formosat-2 image. Secondly, manual estimation of cloud coverage from Formosat-2 image is processed by manual examination. Apparently, a more accurate Automatic Cloud Coverage Assessment (ACCA) method certainly increases the efficiency of processing step 2 with a good prediction of cloud statistic. In this paper, mainly based on the research results from Chang et al, Irish, and Gotoh, we propose a modified Formosat-2 ACCA method which considered pre-processing and post-processing analysis. For pre-processing analysis, cloud statistic is determined by using un-supervised K-means classification, Sobel's method, Otsu's method, non-cloudy pixels reexamination, and cross-band filter method. Box-Counting fractal method is considered as a post-processing tool to double check the results of pre-processing analysis for increasing the efficiency of manual examination.

Citation Download Citation

Kuo-Hsien Hsu "Automatic cloud coverage assessment of Formosat-2 image", Proc. SPIE 8177, Remote Sensing of Clouds and the Atmosphere XVI, 81770S (26 October 2011); https://doi.org/10.1117/12.897894

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