Automatic detection in a maritime environment: gradient filter versus intensity background estimation

Tanja Y. C. van Valkenburg-van Haarst; Fok Bolderheij; Frans C. A. Groen

doi:10.1117/12.777061

14 April 2008 Automatic detection in a maritime environment: gradient filter versus intensity background estimation

Tanja Y. C. van Valkenburg-van Haarst, Fok Bolderheij, Frans C. A. Groen

Proceedings Volume 6967, Automatic Target Recognition XVIII; 69670V (2008) https://doi.org/10.1117/12.777061
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Automatic detection of surface objects, like vessels, in a maritime environment from images is an important issue in naval surveillance. Two different approaches - gradient filter and background estimation - are presented in this paper and the test results on real data, both infrared as well as visible light images, are discussed. In the gradient approach, a gradient filter scans the sea-part of the image horizontally and vertically resulting in peaks at locations where the gradient exceeds a predefined local threshold. In the second approach, the background estimation, a polynomial model of the background is fitted locally to the seapart of the image. Using these polynomial background-estimators in the actual sea-analysis, objects are detected. In this paper the advantages and disadvantages of both approaches are discussed.

Citation Download Citation

Tanja Y. C. van Valkenburg-van Haarst, Fok Bolderheij, and Frans C. A. Groen "Automatic detection in a maritime environment: gradient filter versus intensity background estimation", Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670V (14 April 2008); https://doi.org/10.1117/12.777061

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