Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery.
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| Title: | Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery. |
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| Authors: | Hurt JA; Center for Geospatial Intelligence, University of Missouri, Columbia, MO 65211, USA., Popescu I; Department of Geography, Stanford University, Stanford, CA 94305, USA., Davis CH; Center for Geospatial Intelligence, University of Missouri, Columbia, MO 65211, USA.; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA., Scott GJ; Center for Geospatial Intelligence, University of Missouri, Columbia, MO 65211, USA.; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Sep 08; Vol. 23 (18). Date of Electronic Publication: 2023 Sep 08. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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