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Zhou et al., 2023 - Google Patents

Deep low-rank and sparse patch-image network for infrared dim and small target detection

Zhou et al., 2023

Document ID
7732624418646488389
Author
Zhou X
Li P
Zhang Y
Lu X
Hu Y
Publication year
Publication venue
IEEE Transactions on Geoscience and Remote Sensing

External Links

Snippet

Detection of infrared dim and small targets with diverse and cluttered background plays a significant role in many applications. In this article, we propose a deep low-rank and sparse patch-image network, termed as Deep-LSP-Net, to effectively detect small targets in a single …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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