Skip to Main content Skip to Navigation
Conference papers

Noise correlation-based adaptive polarimetric image representation for contrast enhancement of a polarized beacon in fog

Abstract : We show the use of a simplified snapshot polarimetric camera along with an adaptive image processing for optimal detection of a polarized light beacon through fog. The adaptive representation is derived using theoretical noise analysis of the data at hand and is shown to be optimal in the Maximum likelihood sense. We report that the contrast enhancing optimal representation that depends on the background noise correlation differs in general from standard representations like polarimetric difference image or polarization filtered image. Lastly, we discuss a detection strategy to reduce the false positive counts
Document type :
Conference papers
Complete list of metadatas

https://hal-univ-rennes1.archives-ouvertes.fr/hal-01275557
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, February 17, 2016 - 4:33:33 PM
Last modification on : Wednesday, May 16, 2018 - 11:23:25 AM

Identifiers

Citation

Swapnesh Panigrahi, Julien Fade, Mehdi Alouini. Noise correlation-based adaptive polarimetric image representation for contrast enhancement of a polarized beacon in fog. Image and Signal Processing for Remote Sensing XXI, 96430C (October 15, 2015), 2015, Toulouse, France. pp.96430C--96430C--7, ⟨10.1117/12.2195216⟩. ⟨hal-01275557⟩

Share

Metrics

Record views

106