An Improved CSO Resolution Method for IR Sensor Based on Pixel-Cluster Decomposition

Hui Zhang; Hui Xu; Yang Xu

doi:10.4028/www.scientific.net/AMR.571.486

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 571An Improved CSO Resolution Method for IR Sensor...

An Improved CSO Resolution Method for IR Sensor Based on Pixel-Cluster Decomposition

Abstract:

The observation of Closely Spaced Object (CSO) using a space-based IR sensor can result in merged measurements on the focal plane due to the limited resolution and the Point Spread Function (PSF) of optics. This paper proposes an improved CSO resolution method based on pixel-cluster decomposition meeting real-time computation requirement. Simulation are carried out to test the performance of the method, and the results confirm its effectiveness.

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Periodical:

Advanced Materials Research (Volume 571)

Pages:

486-490

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.571.486

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Online since:

September 2012

Authors:

Hui Zhang, Hui Xu, Yang Xu

Keywords:

Bayesian Information Criterion, Closely Spaced Objects, Fuzzy C-Means Clustering, Infrared Sensor, Point Spread Function

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