Image processing of the special sensor microwave/imager based on passive microwave remote sensing

Peng Wang; Qigang Jiang; Bin Liu

doi:10.1117/12.2684592

1 August 2023 Image processing of the special sensor microwave/imager based on passive microwave remote sensing

Peng Wang, Qigang Jiang, Bin Liu

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275405 (2023) https://doi.org/10.1117/12.2684592
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

Most of the land surface water in the plateau region is frozen. Due to the huge difference in the dielectric constant of water and ice, this paper generated a ten-year surface permafrost change map from 1992 to 2001 based on SSM/I passive microwave remote sensing data, and the results showed that from 1992 to 2001, the annual average frozen area in Tibet showed a downward trend, which also verified the general trend of global warming. According to the comparison between the images generated by the two algorithms and the actual situation, it can be seen that the freeze-thaw discriminant algorithm has better accuracy than the double-index algorithm under the condition of ascending orbit. The results of this study can have important reference value for analyzing the changes of permafrost in Tibet for a long time series and selecting the appropriate soil freeze-thaw discrimination algorithm, and also provide an SSM/I sensor image processing method.

Citation Download Citation

Peng Wang, Qigang Jiang, and Bin Liu "Image processing of the special sensor microwave/imager based on passive microwave remote sensing", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275405 (1 August 2023); https://doi.org/10.1117/12.2684592

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