Cloud detection using SDGSAT-1 thermal infrared data

Yanmei Xie; Caihong Ma; Guangtong Wan; Hongyu Chen; Bihong Fu

doi:10.1117/12.2674217

19 October 2023 Cloud detection using SDGSAT-1 thermal infrared data

Yanmei Xie, Caihong Ma, Guangtong Wan, Hongyu Chen, Bihong Fu

Proceedings Volume 12730, Remote Sensing of Clouds and the Atmosphere XXVIII; 127300A (2023) https://doi.org/10.1117/12.2674217
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Thermal infrared data of Sustainable Development Goals Satellite 1 (SDGSAT-1) with 30-m spatial resolution was one highest resolution data. The accurate recognition of cloud on SDGSAT-1 thermal infrared data is becoming vitally important for thermal infrared target detection in lager areas. In this paper, a new cloud detection method was proposed using SDGSAT-1 thermal infrared data. First, a new cloud index was devised based on SDGSAT-1 thermal infrared data and muti-features were extracted. Then, cloud samples and non-cloud samples were set up using SDGSAT-1 thermal infrared data and high-resolution satellite remote sensing data. Lastly, Support Vector Machine (SVM) was introduced to detect cloud mask. The results show that the new method can detect cloud mask on SDGSAT-1 thermal infrared data.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanmei Xie, Caihong Ma, Guangtong Wan, Hongyu Chen, and Bihong Fu "Cloud detection using SDGSAT-1 thermal infrared data", Proc. SPIE 12730, Remote Sensing of Clouds and the Atmosphere XXVIII, 127300A (19 October 2023); https://doi.org/10.1117/12.2674217

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