Soil classification method based on hyperspectral computing imaging system
A technology of computing imaging and classification methods, applied in computing, computer components, color/spectral characteristic measurement, etc., to achieve high classification accuracy, improve classification accuracy, and fast training speed
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0025] The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
[0026] The invention provides a soil classification method based on a hyperspectral computing imaging system, which uses the LCTF-based hyperspectral computing imaging system to collect compressed measurement values of different soil types. LCTF is used to modulate the spectral dimension of the spectral image, and the spectral image under different channels can be obtained by adjusting the central wavelength of the LCTF. The spectral image filtered by LCTF is a multispectral image in a narrow band around the central wavelength. Soil hyperspectral images can be reconstructed by compressive sensing theory, and the spectral resolution of soil spectral images can be improved. Then, the 3D-CNN method is used to classify the soil types in the reconstructed hyperspectral image, which fully reflects the characteristics of soil spatial and spectral dimensions...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com