{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11941865","patent":{"patent_number":"US-11941865","title":"Hyperspectral image classification method based on context-rich networks","assignee":null,"inventors":[],"filing_date":"2023-06-20T00:00:00.000Z","publication_date":"2024-03-26T00:00:00.000Z","cpc_codes":["G06V","G06V","G06V","G06V","G06V","G06V","G06V","G06V"],"num_claims":7,"abstract":"Disclosed in the present invention is hyperspectral image classification method based on context-rich networks. The method comprises a training stage and a prediction stage, wherein the training stage comprises image pre-processing, sample selection and network training. Firstly, performing normalization on a hyperspectral image, and then randomly selecting an appropriate proportion of marked samples from each category to generate a label map, and performing training by using the designed network; in the prediction stage, directly inputting the whole image into the trained network and obtaining a final classification result. By means of the present invention, data pre-processing, feature extraction, the process of context-rich information capturing, and classification are taken into comprehensive consideration in the whole flow; and the classification of a hyperspectral image is realized by means of constructing an end-to-end network."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Hyperspectral image classification method based on context-rich networks","description":"Disclosed in the present invention is hyperspectral image classification method based on context-rich networks. The method comprises a training stage and a prediction stage, wherein the training stage","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11941865","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11941865","citation_suggestion":"Patentable. \"Hyperspectral image classification method based on context-rich networks\" (US-11941865). https://patentable.app/patents/US-11941865","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11941865","json":"https://patentable.app/api/llm-context/US-11941865","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T10:02:11.866Z"}