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Proceedings Paper

Cloud detection from ATSR images using a segmentation technique
Author(s): Dongseok Shin; John K. Pollard; Jan-Peter A. Muller
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Paper 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.

Paper Details

Date Published: 27 December 1995
PDF: 7 pages
Proc. SPIE 2578, Passive Infrared Remote Sensing of Clouds and the Atmosphere III, (27 December 1995); doi: 10.1117/12.228955
Show Author Affiliations
Dongseok Shin, Univ. College London (United Kingdom)
John K. Pollard, Univ. College London (United Kingdom)
Jan-Peter A. Muller, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 2578:
Passive Infrared Remote Sensing of Clouds and the Atmosphere III
David K. Lynch; Eric P. Shettle, Editor(s)

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