Abstract
Basing ourselves on a novel segmentation algorithm for multi-spectral images, we have considered how to detect multi-pixel anomalous objects in image cubes with a spectral component. In particular, we have developed several filters to compensate for noise which may be present in the initial cube. We show that for speckle noise, a modification of our morphology technique allows us to detect targets without an enhanced false alarm result.
Original language | English |
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Article number | 50 |
Pages (from-to) | 390-399 |
Number of pages | 10 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5546 |
DOIs | |
State | Published - 1 Dec 2004 |
Event | Imaging Spectrometry X - Denver, CO, United States Duration: 2 Aug 2004 → 4 Aug 2004 |
Keywords
- Anomaly detection
- Morphological operation
- Speckle noise
- Spectral data
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering