{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HYX5VYCJQG3MNO7VW7MGTNGTLS","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":"668ff4dfd66c79684abbe68283b70f2d7862e925ae64567005d64963f6835d0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-22T08:21:20Z","title_canon_sha256":"4a2fcedeb6e0a74a808f30b46f01d8a298e40e5a0efae72cd6b067c5a06bc3f0"},"schema_version":"1.0","source":{"id":"1609.06861","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.06861","created_at":"2026-05-18T01:04:04Z"},{"alias_kind":"arxiv_version","alias_value":"1609.06861v1","created_at":"2026-05-18T01:04:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.06861","created_at":"2026-05-18T01:04:04Z"},{"alias_kind":"pith_short_12","alias_value":"HYX5VYCJQG3M","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"HYX5VYCJQG3MNO7V","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"HYX5VYCJ","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:70266f234e5b233d5edce5c8e161f0db171fd6538c4fc071c45ed74feb9dbbd7","target":"graph","created_at":"2026-05-18T01:04:04Z","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":"In this paper,  we investigate the impact of segmentation algorithms as a preprocessing step for classification of remote sensing images in a deep learning framework. Especially, we address the issue of segmenting the image into regions to be classified using pre-trained deep neural networks as feature extractors for an SVM-based classifier.  An efficient segmentation  as  a  preprocessing  step  helps  learning  by  adding  a spatially-coherent structure to the data.  Therefore, we compare algorithms producing superpixels with more traditional remote  sensing  segmentation  algorithms  and  m","authors_text":"Bertrand Le Saux (Palaiseau), Nicolas Audebert (OBELIX, Palaiseau), S\\'ebastien Lef\\`evre (OBELIX)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-22T08:21:20Z","title":"How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.06861","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:bd8d78122c107e1e852538152e2d95e00dd01b6832bbf2e674f0adab18f07144","target":"record","created_at":"2026-05-18T01:04:04Z","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":"668ff4dfd66c79684abbe68283b70f2d7862e925ae64567005d64963f6835d0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-22T08:21:20Z","title_canon_sha256":"4a2fcedeb6e0a74a808f30b46f01d8a298e40e5a0efae72cd6b067c5a06bc3f0"},"schema_version":"1.0","source":{"id":"1609.06861","kind":"arxiv","version":1}},"canonical_sha256":"3e2fdae04981b6c6bbf5b7d869b4d35ca11e72749c381434126dd61d678291f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e2fdae04981b6c6bbf5b7d869b4d35ca11e72749c381434126dd61d678291f8","first_computed_at":"2026-05-18T01:04:04.933232Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:04:04.933232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ijk+0+KrFhUQicKdEC3f6n3abe4M4qidbQ2OVC7z/7DtiXfdfS4i5cRwgdV9XH943qaNPke3YdigB35yEVbuBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:04:04.933695Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.06861","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd8d78122c107e1e852538152e2d95e00dd01b6832bbf2e674f0adab18f07144","sha256:70266f234e5b233d5edce5c8e161f0db171fd6538c4fc071c45ed74feb9dbbd7"],"state_sha256":"2df025e005438b8adf7f27652c5ed1dba80d0135c0319e50a8d4c73c2f03cda9"}