Cloud detection from ATSR images using a segmentation technique

Dongseok Shin; John K. Pollard; Jan-Peter A. Muller

doi:10.1117/12.228955

27 December 1995 Cloud detection from ATSR images using a segmentation technique

Dongseok Shin, John K. Pollard, Jan-Peter A. Muller

Proceedings Volume 2578, Passive Infrared Remote Sensing of Clouds and the Atmosphere III; (1995) https://doi.org/10.1117/12.228955
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

In this paper, a fast and accurate method is proposed for two cloud detection tests on thermal infrared( IR) images over sea obtained from Along-Track Scanning Radiometer(ATSR); an JR gross cloud test and a spatial coherence test. The proposed method is based on a regional segmentation technique. After the segmentation of an JR image, small regions were regarded as cloudy due to their high spatial variability in temperature. This technique preserved the spatial resolution of the detected cloud image which would be degraded by the conventional spatial coherence test. It also reduced the computation dramatically compared to the conventional spatial coherence test. An accurate temperature threshold between clear sea and clouds was determined directly from the segmented image. This post-determined threshold was tested to be more accurate than pre-determined temperature thresholds. Since this algorithm does not require any human interaction, it can be combined with other tests in an automatic cloud detection algorithm.

Citation Download Citation

Dongseok Shin, John K. Pollard, and Jan-Peter A. Muller "Cloud detection from ATSR images using a segmentation technique", Proc. SPIE 2578, Passive Infrared Remote Sensing of Clouds and the Atmosphere III, (27 December 1995); https://doi.org/10.1117/12.228955

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