26 January 2016 Robust multipixel matched subspace detection with signal-dependent background power
Author Affiliations +
J. of Applied Remote Sensing, 10(1), 015006 (2016). doi:10.1117/1.JRS.10.015006
A modified matched subspace detector (MSD) has been recently proposed for detecting a barely discernible object in an additive Gaussian background clutter using a single pixel in a sequence of digital images. In contrast to this detector designed for the subpixel object, we developed a generalized likelihood ratio approach to the detection of a multipixel object of unknown shape, size, and position in an additive signal-dependent Gaussian background and noise. The proposed detector modifies the MSD by adding the additional term proportional to the square of the difference between the background variances under two statistical hypotheses. The performances of these detectors are evaluated for the example scenario of two multipixel floating objects on the agitated sea surface. The crucial characteristic of the proposed detector is that prior knowledge of the target size, shape, and position is not required. Computer simulation and experimental results have shown that the proposed detector outperforms the MSD, especially in the case of weak and poorly contrasted objects of unknown shape, size, and position.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Victor Golikov, Marco Rodriguez-Blanco, Olga Lebedeva, "Robust multipixel matched subspace detection with signal-dependent background power," Journal of Applied Remote Sensing 10(1), 015006 (26 January 2016). https://doi.org/10.1117/1.JRS.10.015006

Target detection


Signal detection

Detection and tracking algorithms

Signal to noise ratio

3D image processing

Algorithm development


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