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A survey on object detection in optical remote sensing images
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Self-citation
Metadata
- Authors
- Cheng, G., & Han, J.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 117
- Pages
- 11-28
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2308318555
- Cited by
- 1,475
- References
- 12
- FWCI
- 137.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 274 d)
- Funders
- National Science Foundation of China (61401357, 61473231)
- China Postdoctoral Science Foundation (2014M552491, 2015T81050)
- Aerospace Science Foundation of China (20140153003)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.