Detection of large targets in noisy hyper-spectral images

Research output: Contribution to conferencePaperpeer-review

Abstract

Basing ourselves on a novel segmentation algorithm for Hyper-Spectral Images (HSI), we have considered how to detect large targets (multi-pixel anomalous objects) in image cubes with a spectral component. In particular, we have developed several filters to compensate for speckle noise which may be present in the initial cube (and specifically in the target). We show that for speckle noise, a modification of our morphological technique allows us to detect targets without an enhanced false alarm result.

Original languageEnglish
Pages313-316
Number of pages4
StatePublished - 1 Dec 2004
Event2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings - Tel-Aviv, Israel
Duration: 6 Sep 20047 Sep 2004

Conference

Conference2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Country/TerritoryIsrael
CityTel-Aviv
Period6/09/047/09/04

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