6 August 2003 Detection filters for visible high-resolution imagery
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We consider new distortion-invariant filters (DIFs) to detect objects in high-resolution Electro-Optical (EO) visible imagery. EO data is a difficult detection problem, because only primitive features such as edges and corners are useful. No hot spots (present in IR data) or bright reflectors (present in SAR data) exist in EO data. We thus expect many false alarms when we try to detect objects in EO data. We use new eigen-detection filters because they are shift-invariant, require only few filters and can handle multiple target classes. Initial results show that our filters, when using zero-mean data, perform well on EO data.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David P. Casasent, David P. Casasent, Songyot Nakariyakul, Songyot Nakariyakul, Rajesh Shenoy, Rajesh Shenoy, } "Detection filters for visible high-resolution imagery", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.501422; https://doi.org/10.1117/12.501422

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