{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XPCZJUTREBJEFPHYNL6TWVALQ6","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":"1641a900c2f9c030abc75980ccca42eaeb85e10b7d19e720117b3bb1f7a6d30d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-26T06:38:07Z","title_canon_sha256":"b1ba32990bb12917e5e695f8dc80ce306a647f0b730290475a6357cb44eb1991"},"schema_version":"1.0","source":{"id":"1806.09807","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.09807","created_at":"2026-05-18T00:05:40Z"},{"alias_kind":"arxiv_version","alias_value":"1806.09807v2","created_at":"2026-05-18T00:05:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.09807","created_at":"2026-05-18T00:05:40Z"},{"alias_kind":"pith_short_12","alias_value":"XPCZJUTREBJE","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XPCZJUTREBJEFPHY","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XPCZJUTR","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:223cb56a516dbffaaadb5787f4e3124619a3a242f973340a2a4c57ee056f99f0","target":"graph","created_at":"2026-05-18T00:05:40Z","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":"As an unsupervised dimensionality reduction method, principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral image (HSI) processing and analysis tasks. It takes each band as a whole and globally extracts the most representative bands. However, different homogeneous regions correspond to different objects, whose spectral features are diverse. It is obviously inappropriate to carry out dimensionality reduction through a unified projection for an entire HSI. In this paper, a simple but very effective superpixelwise PCA approa","authors_text":"Chen Chen, Jiayi Ma, Junjun Jiang, Lizhe Wang, Zhihua Cai, Zhongyuan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-26T06:38:07Z","title":"SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.09807","kind":"arxiv","version":2},"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":"sha256:54c788d2164a4851e23223071283764e2ca92cb786a09ad757542fbc3536bae7","target":"record","created_at":"2026-05-18T00:05:40Z","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":"1641a900c2f9c030abc75980ccca42eaeb85e10b7d19e720117b3bb1f7a6d30d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-06-26T06:38:07Z","title_canon_sha256":"b1ba32990bb12917e5e695f8dc80ce306a647f0b730290475a6357cb44eb1991"},"schema_version":"1.0","source":{"id":"1806.09807","kind":"arxiv","version":2}},"canonical_sha256":"bbc594d271205242bcf86afd3b540b87818eb599bd8b6c8dfebb329c00f118cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbc594d271205242bcf86afd3b540b87818eb599bd8b6c8dfebb329c00f118cd","first_computed_at":"2026-05-18T00:05:40.873301Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:40.873301Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hJ9TwzFBz3Nzh+tfmU+SfIOs1SIKEXl6XLGeXT215SNhTD3ekevf8ggAAFhU6BUn84hu/83JP2YqBkKTiWTpAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:40.874037Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.09807","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54c788d2164a4851e23223071283764e2ca92cb786a09ad757542fbc3536bae7","sha256:223cb56a516dbffaaadb5787f4e3124619a3a242f973340a2a4c57ee056f99f0"],"state_sha256":"15e1c46626dcfe8fbb0cff80943a7da0dfa8da54312ac6a99606e6eb0e971a3c"}