Channel Selection, Data Simulation, and Parameter Inversion of Ground-Based Hyperspectral Microwave Radiometer
| Autor: | Xianbin Zhao, Lu Wen, Wang Yuxun, Wang Rui, Wei Yan, Shuo Ma, Chengming Gu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Radiometer
Article Subject 010504 meteorology & atmospheric sciences Artificial neural network General Mathematics lcsh:Mathematics Microwave radiometer 0211 other engineering and technologies General Engineering Hyperspectral imaging Inversion (meteorology) 02 engineering and technology Atmospheric temperature lcsh:QA1-939 01 natural sciences lcsh:TA1-2040 Environmental science lcsh:Engineering (General). Civil engineering (General) Microwave 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Communication channel |
| Zdroj: | Mathematical Problems in Engineering, Vol 2019 (2019) |
| ISSN: | 1563-5147 |
| Popis: | To make up for the deficiency in the accuracy of temperature profile observation of existing ground-based microwave radiometers, the application of hyperspectral techniques to the microwave band was attempted. To develop a ground-based hyperspectral microwave radiometer, we must first select the detection channel. According to the degrees of signal freedom (DFS) based on information content of atmospheric temperature, the current study selected 200 channels containing 80% of the information to be selected from 343 candidate channels with oxygen absorption bands of 50~70 GHz, 110~130 GHz, and 415~435 GHz. At the same time, a sensitivity analysis was performed on DFS, in which the variation of background field errors had less influence on the channel selection, but the variation of observation errors significantly affected the information content of the channel. In 2015, the BP neural network method was used to simulate the atmospheric temperature profile environment in Kunming and compare it with seven temperature detection channels selected from the currently used microwave radiometer RPG~HATPR0~G3. The inversion results indicate the following: (1) Selecting the channel with 80% information content does not reduce the inversion accuracy of the temperature profile. (2) The 200 channels selected are relative to the 7 channels of RPG~HATPR0~G3. The accuracy of inversion is increased by 0.5 K at the height of 0~8 km and increased by 0.5~1.2 K in the range of 8~10 km. |
| Databáze: | OpenAIRE |
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