A Locally Adaptable Iterative RX Detector
<p/> <p>We present an unsupervised anomaly detection method for hyperspectral imagery (HSI) based on data characteristics inherit in HSI. A locally adaptive technique of iteratively refining the well-known RX detector (LAIRX) is developed. The technique is motivated by the need for bette...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2010/341908 |