光谱噪声的去除方法、装置、电子设备及存储介质
By combining discrete wavelet transform algorithm and complex function, spectral information is decomposed and reconstructed, solving the problem of noise influence in spectral data, improving signal-to-noise ratio, and supporting efficient detection of ground cover information.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- LANGFANG NORMAL UNIV
- Filing Date
- 2022-10-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies contain a large amount of irrelevant noise in spectral data, which reduces the signal-to-noise ratio and affects the ability to detect ground cover information, thus failing to effectively support the application of remote sensing technology in detecting ground cover information.
The discrete wavelet transform algorithm is used to decompose the original spectral information with dmey as the wavelet basis to obtain low-frequency and high-frequency information at different scales. The high-frequency information is reconstructed using a complex function, and the high-frequency and low-frequency information at a specific scale is summed to remove noise information.
It enables rapid and lossless reduction of noise content in spectral data, improves the signal-to-noise ratio, and preserves the main spectral information, providing technical support for the processing, analysis and application of ground object spectral data.
Smart Images
Figure CN115545078B_ABST