{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:DO4FMYRGQHXZK3ESRSZXNWWTVM","short_pith_number":"pith:DO4FMYRG","schema_version":"1.0","canonical_sha256":"1bb856622681ef956c928cb376dad3ab02ff78ef7b711bc4fefc5ec57b420b4e","source":{"kind":"arxiv","id":"1611.03341","version":1},"attestation_state":"computed","paper":{"title":"Fast Algorithm of High-resolution Microwave Imaging Using the Non-parametric Generalized Reflectivity Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lianlin Li, Long Gang Wang, Tie Jun Cui","submitted_at":"2016-09-12T07:34:44Z","abstract_excerpt":"This paper presents an efficient algorithm of high-resolution microwave imaging based on the concept of generalized reflectivity. The contribution made in this paper is two-fold. We introduce the concept of non-parametric generalized reflectivity (GR, for short) as a function of operational frequencies and view angles, etc. The GR extends the conventional Born-based imaging model, i.e., single-scattering model, into that accounting for more realistic interaction between the electromagnetic wavefield and imaged scene. Afterwards, the GR-based microwave imaging is formulated in the convex of spa"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1611.03341","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-12T07:34:44Z","cross_cats_sorted":[],"title_canon_sha256":"d455a0d238c23fc4118f074ca4ca3e1bbe67b77bd83e1f6d4baea2cecad79f5a","abstract_canon_sha256":"55a67d4205be77d62cd511414e87a189d41aadff3a3bd2097544287932c8b442"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:59:40.535401Z","signature_b64":"LIVGG4qS89xjJhKBiYspvSHcIDVQH/B619sU1Z/VzN19K5IYIrA+UvtVMc2ZF0QDv+RS0vieB6UPMKR0/oViCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bb856622681ef956c928cb376dad3ab02ff78ef7b711bc4fefc5ec57b420b4e","last_reissued_at":"2026-05-18T00:59:40.534628Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:59:40.534628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast Algorithm of High-resolution Microwave Imaging Using the Non-parametric Generalized Reflectivity Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lianlin Li, Long Gang Wang, Tie Jun Cui","submitted_at":"2016-09-12T07:34:44Z","abstract_excerpt":"This paper presents an efficient algorithm of high-resolution microwave imaging based on the concept of generalized reflectivity. The contribution made in this paper is two-fold. We introduce the concept of non-parametric generalized reflectivity (GR, for short) as a function of operational frequencies and view angles, etc. The GR extends the conventional Born-based imaging model, i.e., single-scattering model, into that accounting for more realistic interaction between the electromagnetic wavefield and imaged scene. Afterwards, the GR-based microwave imaging is formulated in the convex of spa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.03341","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1611.03341","created_at":"2026-05-18T00:59:40.534762+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.03341v1","created_at":"2026-05-18T00:59:40.534762+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.03341","created_at":"2026-05-18T00:59:40.534762+00:00"},{"alias_kind":"pith_short_12","alias_value":"DO4FMYRGQHXZ","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_16","alias_value":"DO4FMYRGQHXZK3ES","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_8","alias_value":"DO4FMYRG","created_at":"2026-05-18T12:30:12.583610+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM","json":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM.json","graph_json":"https://pith.science/api/pith-number/DO4FMYRGQHXZK3ESRSZXNWWTVM/graph.json","events_json":"https://pith.science/api/pith-number/DO4FMYRGQHXZK3ESRSZXNWWTVM/events.json","paper":"https://pith.science/paper/DO4FMYRG"},"agent_actions":{"view_html":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM","download_json":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM.json","view_paper":"https://pith.science/paper/DO4FMYRG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.03341&json=true","fetch_graph":"https://pith.science/api/pith-number/DO4FMYRGQHXZK3ESRSZXNWWTVM/graph.json","fetch_events":"https://pith.science/api/pith-number/DO4FMYRGQHXZK3ESRSZXNWWTVM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM/action/storage_attestation","attest_author":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM/action/author_attestation","sign_citation":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM/action/citation_signature","submit_replication":"https://pith.science/pith/DO4FMYRGQHXZK3ESRSZXNWWTVM/action/replication_record"}},"created_at":"2026-05-18T00:59:40.534762+00:00","updated_at":"2026-05-18T00:59:40.534762+00:00"}