{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:E72USQEBWULEQFTNQ7PXCTBD2J","short_pith_number":"pith:E72USQEB","schema_version":"1.0","canonical_sha256":"27f5494081b51648166d87df714c23d277bdefeb53aa8654589c0e8d99b3549c","source":{"kind":"arxiv","id":"1801.07499","version":1},"attestation_state":"computed","paper":{"title":"Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Jian Kang, Michael Schmitt, Xiao Xiang Zhu, Yuanyuan Wang","submitted_at":"2018-01-23T11:49:10Z","abstract_excerpt":"The most unique advantage of multipass SAR interferometry (InSAR) is the retrieval of long term geophysical parameters, e.g. linear deformation rates, over large areas. Recently, an object-based multipass InSAR framework has been proposed in [1], as an alternative to the typical single-pixel methods, e.g. Persistent Scatterer Interferometry (PSI), or pixel-cluster-based methods, e.g. SqueeSAR. This enables the exploitation of inherent properties of InSAR phase stacks on an object level. As a followon, this paper investigates the inherent low rank property of such phase tensors, and proposes a "},"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":"1801.07499","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-01-23T11:49:10Z","cross_cats_sorted":[],"title_canon_sha256":"fea27e9910bdcf968af4f33cde52f20c398a6ebf6eb62573e43706e3b2ec8b6a","abstract_canon_sha256":"29d7dcdbdbdb92cc9ab3f59376d713a005523ba3e3a7461273567565344f846c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:38.791739Z","signature_b64":"arus6B9h/lZ9Ktz4El46RVP3cDRlBJdm2GnwA+O/BwhlTrjnmYIg4phX2lvu8tqeSW62DkeGGBMITleuwT3EAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27f5494081b51648166d87df714c23d277bdefeb53aa8654589c0e8d99b3549c","last_reissued_at":"2026-05-18T00:11:38.791013Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:38.791013Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Jian Kang, Michael Schmitt, Xiao Xiang Zhu, Yuanyuan Wang","submitted_at":"2018-01-23T11:49:10Z","abstract_excerpt":"The most unique advantage of multipass SAR interferometry (InSAR) is the retrieval of long term geophysical parameters, e.g. linear deformation rates, over large areas. Recently, an object-based multipass InSAR framework has been proposed in [1], as an alternative to the typical single-pixel methods, e.g. Persistent Scatterer Interferometry (PSI), or pixel-cluster-based methods, e.g. SqueeSAR. This enables the exploitation of inherent properties of InSAR phase stacks on an object level. As a followon, this paper investigates the inherent low rank property of such phase tensors, and proposes a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.07499","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":"1801.07499","created_at":"2026-05-18T00:11:38.791132+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.07499v1","created_at":"2026-05-18T00:11:38.791132+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.07499","created_at":"2026-05-18T00:11:38.791132+00:00"},{"alias_kind":"pith_short_12","alias_value":"E72USQEBWULE","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_16","alias_value":"E72USQEBWULEQFTN","created_at":"2026-05-18T12:32:22.470017+00:00"},{"alias_kind":"pith_short_8","alias_value":"E72USQEB","created_at":"2026-05-18T12:32:22.470017+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/E72USQEBWULEQFTNQ7PXCTBD2J","json":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J.json","graph_json":"https://pith.science/api/pith-number/E72USQEBWULEQFTNQ7PXCTBD2J/graph.json","events_json":"https://pith.science/api/pith-number/E72USQEBWULEQFTNQ7PXCTBD2J/events.json","paper":"https://pith.science/paper/E72USQEB"},"agent_actions":{"view_html":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J","download_json":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J.json","view_paper":"https://pith.science/paper/E72USQEB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.07499&json=true","fetch_graph":"https://pith.science/api/pith-number/E72USQEBWULEQFTNQ7PXCTBD2J/graph.json","fetch_events":"https://pith.science/api/pith-number/E72USQEBWULEQFTNQ7PXCTBD2J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J/action/storage_attestation","attest_author":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J/action/author_attestation","sign_citation":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J/action/citation_signature","submit_replication":"https://pith.science/pith/E72USQEBWULEQFTNQ7PXCTBD2J/action/replication_record"}},"created_at":"2026-05-18T00:11:38.791132+00:00","updated_at":"2026-05-18T00:11:38.791132+00:00"}