{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11948354","patent":{"patent_number":"US-11948354","title":"Automated spectral selection for feature identification from remote sensed images","assignee":null,"inventors":[],"filing_date":"2021-05-28T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["G06V","G06V","G06V","G06V","H04W","G06Q","G06Q"],"num_claims":14,"abstract":"Disclosed are systems, methods, and apparatus related to automated spectral selection for feature identification from remote sensed images. The invention includes various modules, such as a spectral selection processing module and a user device module that are communicatively coupled to each other via a communication connection. The invention includes a non-transitory memory that causes a processor to carry out one or more tasks. Those tasks include, but are not limited to, storing imagery; generating a list of imagery, input related to the imagery, a map view, target pixel values, and geometry related to the imagery; transforming pixels to vectors; conducting analytics within the identified vector features; quantifying data within identified vector features; and displaying the results on the user device module."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Automated spectral selection for feature identification from remote sensed images","description":"Disclosed are systems, methods, and apparatus related to automated spectral selection for feature identification from remote sensed images. The invention includes various modules, such as a spectral s","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11948354","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-11948354","citation_suggestion":"Patentable. \"Automated spectral selection for feature identification from remote sensed images\" (US-11948354). https://patentable.app/patents/US-11948354","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11948354","json":"https://patentable.app/api/llm-context/US-11948354","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T07:00:17.007Z"}