| dc.contributor.author | Kacker, Shreeyam | |
| dc.contributor.author | Meredith, Alex | |
| dc.contributor.author | Kusters, Joe | |
| dc.contributor.author | Tomio, Hannah | |
| dc.contributor.author | Cahoy, Kerri | |
| dc.contributor.author | Felt, Violet | |
| dc.date.accessioned | 2023-01-12T16:59:54Z | |
| dc.date.available | 2023-01-12T16:59:54Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/147080 | |
| dc.language.iso | en | |
| dc.publisher | American Institute of Aeronautics and Astronautics (AIAA) | en_US |
| dc.relation.isversionof | 10.2514/6.2022-0646 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Prof. Cahoy | en_US |
| dc.title | On-orbit rule-based and deep learning image segmentation strategies | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Kacker, Shreeyam, Meredith, Alex, Kusters, Joe, Tomio, Hannah, Cahoy, Kerri et al. 2022. "On-orbit rule-based and deep learning image segmentation strategies." AIAA SCITECH 2022 Forum. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
| dc.relation.journal | AIAA SCITECH 2022 Forum | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2023-01-12T16:47:49Z | |
| dspace.orderedauthors | Kacker, S; Meredith, A; Kusters, J; Tomio, H; Cahoy, K; Felt, V | en_US |
| dspace.date.submission | 2023-01-12T16:48:00Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
