On Efficiency of Detection of Subpixel Targets with Hypothesis Dependent Structured Background Power

Authors

  • Victor Golikov Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.
  • Olga Lebedeva Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.
  • Manuel May Alarcón Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.
  • Francisco Mendez Martínez Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.
  • Marco Rodríguez Blanco Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.
  • Mayolo Salvador Islas Chuc Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

DOI:

https://doi.org/10.13053/cys-17-4-1347

Keywords:

Hypothesis dependent power, subpixel targets, performance loss.

Abstract

In this paper, matched detector (MD) and matched subspace detector (MSD) are studied when the structured background power is different under the null and the alternative hypotheses. The distributions of two test statistics are derived under these conditions. It has been analytically shown that these detectors can suffer a drastic degradation in performance for background power deviations under alternative hypothesis. We discuss the differences between the performances of these detectors in the case of the structured and unstructured backgrounds with uncorrelated Gaussian noise. The theoretical results are compared with simulated data and good agreement is reported. We present experimental results of small floating object detection on an agitated sea surface using spectral digital video experiments which validate the theoretical results.

Author Biographies

Victor Golikov, Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

Works as Professor at University Autonomous of Carmen (Ciudad del Carmen, Camp., Mexico). His main research interests are statistical signal/image/ videoprocessing and remote sensing. He is the author of more than 100 international scientific and conference papers, and also 17 patents of the former USSR.

Olga Lebedeva, Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

Works as Professor at University Autonomous of Carmen (Ciudad del Carmen, Camp., Mexico). Her main research interests are statistical signal/image/video processing and remote sensing. She is the author of more than 45 international scientific and conference papers.

Manuel May Alarcón, Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

Works as Professor at University Autonomous of Carmen (Ciudad del Carmen, Camp., Mexico). His main research interests are optoelectronic and fiber optic sensors. He is the author of five international scientific and conference papers.

Francisco Mendez Martínez, Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

Works as Professor at University Autonomous of Carmen (Ciudad del Carmen, Camp., Mexico). His main research interests are optoelectronic, fiber application of Sagnac interferometer and noise reduction. He is the author of five international scientific and conference papers.

Marco Rodríguez Blanco, Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

Works as Professor at University Autonomous of Carmen (Ciudad del Carmen, Camp., Mexico). His main research interest is electronic semi-conductor devices. He is the author of more than 15 international scientific and conference papers.

Mayolo Salvador Islas Chuc, Facultad de Ingeniería, Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche.

Works as Professor at University Autonomous of Carmen (Ciudad del Carmen, Camp., Mexico). His main research interests are statistical signal/image/video processing and remote sensing. He is the author of two international scientific and conference papers.

Additional Files

Published

2013-12-30