Towards sea surface pollution detection from visible band images

Stainvas, Inna and Lowe, David (2001). Towards sea surface pollution detection from visible band images. IEICE Transactions on Electronics, E84-C (12), pp. 1848-1856.

Abstract

This paper presents a novel approach to water pollution detection from remotely sensed low-platform mounted visible band camera images. We examine the feasibility of unsupervised segmentation for slick (oily spills on the water surface) region labelling. Adaptive and non adaptive filtering is combined with density modeling of the obtained textural features. A particular effort is concentrated on the textural feature extraction from raw intensity images using filter banks and adaptive feature extraction from the obtained output coefficients. Segmentation in the extracted feature space is achieved using Gaussian mixture models (GMM).

Divisions: Engineering & Applied Sciences > Mathematics
Uncontrolled Keywords: water pollution detection,unsupervised segmentation,filtering,Gaussian mixture models
Published Date: 2001-12

Download

Full text not available from this repository.

Export / Share Citation


Statistics

Additional statistics for this record