The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track
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Citations
Cites
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
Feature detection with automatic scale selection
Lindeberg, T. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008045108935 · Cited by 2,541
Indexing based on scale invariant interest points
Mikolajczyk, K., & Schmid, C. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937561 · Cited by 1,101
Max-mean and max-median filters for detection of small targets:
Deshpande, S. D., Er, M. H., Venkateswarlu, R., & Chan, P. (1999) · SPIE Proceedings · doi:10.1117/12.364049 · Cited by 853
Vision-based mobile robot localization and mapping using scale-invariant features
Se, S., Lowe, D., & Little, J. (2002) · Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) · doi:10.1109/robot.2001.932909 · Cited by 476
A Model of V4 Shape Selectivity and Invariance
Cadieu, C., Kouh, M., Pasupathy, A., Connor, C. E., Riesenhuber, M., & Poggio, T. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01265.2006 · Cited by 226
Visual saliency and spike timing in the ventral visual pathway
VanRullen, R. (2003) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2003.09.010 · Cited by 109
Kim, S., Yoon, K., & Kweon, I. S. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2007.05.014 · Cited by 41
Self-citationSize tuning in the absence of spatial frequency tuning in object recognition
Fiser, J., Subramaniam, S., & Biederman, I. (2001) · Vision Research · doi:10.1016/s0042-6989(01)00062-1 · Cited by 22
Cited by
Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear Norm
Zhang, L., & Peng, Z. (2019) · Remote Sensing · doi:10.3390/rs11040382 · Cited by 759
Bio-Inspired Video Enhancement for Small Moving Target Detection
Uzair, M., Brinkworth, R. S., & Finn, A. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.3043113 · Cited by 42
Metadata
- Authors
- Kim, S., & Lee, J.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 45
- Issue
- 1
- Pages
- 393-406
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2051185466
- Cited by
- 255
- References
- 9
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track. https://app.cochat.ai/papers/10.1016/j.patcog.2011.06.009
- The paper
- Kim, S., & Lee, J. (2012). Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track. Pattern Recognition. https://doi.org/10.1016/j.patcog.2011.06.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
