{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:KH6MSU3LFHAOR5B7UFCMOB6SAJ","short_pith_number":"pith:KH6MSU3L","canonical_record":{"source":{"id":"1707.07225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-22T22:22:25Z","cross_cats_sorted":[],"title_canon_sha256":"6f8a63adffa5b0735f19117af8e6e827f4146de655614bbc094faf70c664643e","abstract_canon_sha256":"8dd13501f19fcd3a877478881325f4fe2cab69311c47b0519f6782a2fbd9c729"},"schema_version":"1.0"},"canonical_sha256":"51fcc9536b29c0e8f43fa144c707d202454a2728a4914a1f93f4d43fed92ce4a","source":{"kind":"arxiv","id":"1707.07225","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07225","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07225v1","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07225","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"KH6MSU3LFHAO","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KH6MSU3LFHAOR5B7","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KH6MSU3L","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:KH6MSU3LFHAOR5B7UFCMOB6SAJ","target":"record","payload":{"canonical_record":{"source":{"id":"1707.07225","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-22T22:22:25Z","cross_cats_sorted":[],"title_canon_sha256":"6f8a63adffa5b0735f19117af8e6e827f4146de655614bbc094faf70c664643e","abstract_canon_sha256":"8dd13501f19fcd3a877478881325f4fe2cab69311c47b0519f6782a2fbd9c729"},"schema_version":"1.0"},"canonical_sha256":"51fcc9536b29c0e8f43fa144c707d202454a2728a4914a1f93f4d43fed92ce4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:42.895378Z","signature_b64":"o37tcQZxxiE6t/iwsBFzJ7F3DhHFvUYRYBWT0v3Sa+SrKE+CvY9Fz1f9t4eiv8yC86n2Vnzzb4AGV+WaDVzUCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51fcc9536b29c0e8f43fa144c707d202454a2728a4914a1f93f4d43fed92ce4a","last_reissued_at":"2026-05-18T00:39:42.894783Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:42.894783Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.07225","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0QwDRK0JkuLLzEFiqq1U37mXheelXjWSFH1IvskHaQs87YxXtwWQxxpTVE/pftsEaHI25R98z5JeWDG/OCqNBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T18:15:27.082367Z"},"content_sha256":"b617be89cf0cbcbe417fdc37997458315d9c1170002f8716259ed488e15c778c","schema_version":"1.0","event_id":"sha256:b617be89cf0cbcbe417fdc37997458315d9c1170002f8716259ed488e15c778c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:KH6MSU3LFHAOR5B7UFCMOB6SAJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAR Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Xu, Qian Song, Ya-Qiu Jin","submitted_at":"2017-07-22T22:22:25Z","abstract_excerpt":"A deep neural networks based method is proposed to convert single polarization grayscale SAR image to fully polarimetric. It consists of two components: a feature extractor network to extract hierarchical multi-scale spatial features of grayscale SAR image, followed by a feature translator network to map spatial feature to polarimetric feature with which the polarimetric covariance matrix of each pixel can be reconstructed. Both qualitative and quantitative experiments with real fully polarimetric data are conducted to show the efficacy of the proposed method. The reconstructed full-pol SAR im"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07225","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KAhvn10+UGC+rkNOEHk8lGn3bzGQTMEXm/2ITfcfDRzZWciYit8l+5LfxzqK3/41sltA+rIL+kIlNqPbtlz+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T18:15:27.082717Z"},"content_sha256":"871828b1599ff8741ab0df03405e403266c1e31bad021ec677e14a2d3e7c7c7c","schema_version":"1.0","event_id":"sha256:871828b1599ff8741ab0df03405e403266c1e31bad021ec677e14a2d3e7c7c7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ/bundle.json","state_url":"https://pith.science/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-04T18:15:27Z","links":{"resolver":"https://pith.science/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ","bundle":"https://pith.science/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ/bundle.json","state":"https://pith.science/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KH6MSU3LFHAOR5B7UFCMOB6SAJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KH6MSU3LFHAOR5B7UFCMOB6SAJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8dd13501f19fcd3a877478881325f4fe2cab69311c47b0519f6782a2fbd9c729","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-22T22:22:25Z","title_canon_sha256":"6f8a63adffa5b0735f19117af8e6e827f4146de655614bbc094faf70c664643e"},"schema_version":"1.0","source":{"id":"1707.07225","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.07225","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"arxiv_version","alias_value":"1707.07225v1","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.07225","created_at":"2026-05-18T00:39:42Z"},{"alias_kind":"pith_short_12","alias_value":"KH6MSU3LFHAO","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"KH6MSU3LFHAOR5B7","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"KH6MSU3L","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:871828b1599ff8741ab0df03405e403266c1e31bad021ec677e14a2d3e7c7c7c","target":"graph","created_at":"2026-05-18T00:39:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"A deep neural networks based method is proposed to convert single polarization grayscale SAR image to fully polarimetric. It consists of two components: a feature extractor network to extract hierarchical multi-scale spatial features of grayscale SAR image, followed by a feature translator network to map spatial feature to polarimetric feature with which the polarimetric covariance matrix of each pixel can be reconstructed. Both qualitative and quantitative experiments with real fully polarimetric data are conducted to show the efficacy of the proposed method. The reconstructed full-pol SAR im","authors_text":"Feng Xu, Qian Song, Ya-Qiu Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-22T22:22:25Z","title":"SAR Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.07225","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b617be89cf0cbcbe417fdc37997458315d9c1170002f8716259ed488e15c778c","target":"record","created_at":"2026-05-18T00:39:42Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8dd13501f19fcd3a877478881325f4fe2cab69311c47b0519f6782a2fbd9c729","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-22T22:22:25Z","title_canon_sha256":"6f8a63adffa5b0735f19117af8e6e827f4146de655614bbc094faf70c664643e"},"schema_version":"1.0","source":{"id":"1707.07225","kind":"arxiv","version":1}},"canonical_sha256":"51fcc9536b29c0e8f43fa144c707d202454a2728a4914a1f93f4d43fed92ce4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51fcc9536b29c0e8f43fa144c707d202454a2728a4914a1f93f4d43fed92ce4a","first_computed_at":"2026-05-18T00:39:42.894783Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:42.894783Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o37tcQZxxiE6t/iwsBFzJ7F3DhHFvUYRYBWT0v3Sa+SrKE+CvY9Fz1f9t4eiv8yC86n2Vnzzb4AGV+WaDVzUCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:42.895378Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.07225","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b617be89cf0cbcbe417fdc37997458315d9c1170002f8716259ed488e15c778c","sha256:871828b1599ff8741ab0df03405e403266c1e31bad021ec677e14a2d3e7c7c7c"],"state_sha256":"3418eb6214f5e0db932ddf17d91e21021fa9dccf8a71c0c8e1ab3267a4b5bc4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"95p2dXFfQKLfRUYSAeU2bTjjVY32kB1X7eGok43x8zzD0vaosISk+qo62g3N06jFQgM1U0bR9+6T0/HQkY/nAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T18:15:27.084714Z","bundle_sha256":"d40c0d6d9ba2c247195488cae85ab22213f6ce7ccb48b2ff6f2167bebe2c5254"}}