{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:U7X4W5FP6XUAOBTGSHGW6DJ656","short_pith_number":"pith:U7X4W5FP","schema_version":"1.0","canonical_sha256":"a7efcb74aff5e807066691cd6f0d3eefad5d5738dde26f410e6f00d1e59a3cf8","source":{"kind":"arxiv","id":"1902.02513","version":1},"attestation_state":"computed","paper":{"title":"Advances on CNN-based super-resolution of Sentinel-2 images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Massimiliano Gargiulo","submitted_at":"2019-02-07T08:09:46Z","abstract_excerpt":"Thanks to their temporal-spatial coverage and free access, Sentinel-2 images are very interesting for the community. However, a relatively coarse spatial resolution, compared to that of state-of-the-art commercial products, motivates the study of super-resolution techniques to mitigate such a limitation. Specifically, thirtheen bands are sensed simultaneously but at different spatial resolutions: 10, 20, and 60 meters depending on the spectral location. Here, building upon our previous convolutional neural network (CNN) based method, we propose an improved CNN solution to super-resolve the 20-"},"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":"1902.02513","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-02-07T08:09:46Z","cross_cats_sorted":[],"title_canon_sha256":"e0efaca4df1e328dfd8c28df855789be8d7b5d72e094ead64857add9523bff4c","abstract_canon_sha256":"dc8f09f7b5f4cedba61c08b95e6cbdef1df27e55363d85518800a94680f2dc55"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:33.112007Z","signature_b64":"ZyTRtH7Bvhs7P5xaUqaWG936Wk9JAb3BpnUBcI8gEAP+9JN3/x4xUqDqewNfgBrC2zR7xgptLlEvpp2B7d7+CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7efcb74aff5e807066691cd6f0d3eefad5d5738dde26f410e6f00d1e59a3cf8","last_reissued_at":"2026-05-17T23:54:33.111324Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:33.111324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Advances on CNN-based super-resolution of Sentinel-2 images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Massimiliano Gargiulo","submitted_at":"2019-02-07T08:09:46Z","abstract_excerpt":"Thanks to their temporal-spatial coverage and free access, Sentinel-2 images are very interesting for the community. However, a relatively coarse spatial resolution, compared to that of state-of-the-art commercial products, motivates the study of super-resolution techniques to mitigate such a limitation. Specifically, thirtheen bands are sensed simultaneously but at different spatial resolutions: 10, 20, and 60 meters depending on the spectral location. Here, building upon our previous convolutional neural network (CNN) based method, we propose an improved CNN solution to super-resolve the 20-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.02513","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":"1902.02513","created_at":"2026-05-17T23:54:33.111429+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.02513v1","created_at":"2026-05-17T23:54:33.111429+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.02513","created_at":"2026-05-17T23:54:33.111429+00:00"},{"alias_kind":"pith_short_12","alias_value":"U7X4W5FP6XUA","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"U7X4W5FP6XUAOBTG","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"U7X4W5FP","created_at":"2026-05-18T12:33:30.264802+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/U7X4W5FP6XUAOBTGSHGW6DJ656","json":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656.json","graph_json":"https://pith.science/api/pith-number/U7X4W5FP6XUAOBTGSHGW6DJ656/graph.json","events_json":"https://pith.science/api/pith-number/U7X4W5FP6XUAOBTGSHGW6DJ656/events.json","paper":"https://pith.science/paper/U7X4W5FP"},"agent_actions":{"view_html":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656","download_json":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656.json","view_paper":"https://pith.science/paper/U7X4W5FP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.02513&json=true","fetch_graph":"https://pith.science/api/pith-number/U7X4W5FP6XUAOBTGSHGW6DJ656/graph.json","fetch_events":"https://pith.science/api/pith-number/U7X4W5FP6XUAOBTGSHGW6DJ656/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656/action/storage_attestation","attest_author":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656/action/author_attestation","sign_citation":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656/action/citation_signature","submit_replication":"https://pith.science/pith/U7X4W5FP6XUAOBTGSHGW6DJ656/action/replication_record"}},"created_at":"2026-05-17T23:54:33.111429+00:00","updated_at":"2026-05-17T23:54:33.111429+00:00"}