Ship Detection in Multispectral Satellite Images Under Complex Environment

An Automatic Detection of the Fire Smoke Through Multispectral Images

One of the consequences of a fire is smoke. Occasionally, monitoring and detection of this smoke can be a solution to prevent occurrence or spreading a fire. On the other hand, due to the destructive effects of the smoke spreading on human health, measures can be taken to improve the level of health services by zoning and monitoring its expansion process. In this paper, an automated method is p...

Edge detection in multispectral images

Edge Detection in Multispectral Images

This paper proposes an extension of edge detectors based on second-order differential operators to the case of multiple band (color) images. To this end, we deline a local directional measure of multispectral contrast. A definition of edge point is then given, as the location of a directional maximum of the contrast function. Extremal contrast edges are defined, as loci of zero crossing points ...

A Method of Ship Detection under Complex Background

The detection of ships in optical remote sensing images with clouds, waves, and other complex interferences is a challenging task with broad applications. Two main obstacles for ship target detection are how to extract candidates in a complex background, and how to confirm targets in the event that targets are similar to false alarms. In this paper, we propose an algorithm based on extended wav...

Multivariate Change Detection in Multispectral, Multitemporal Images

This paper introduces a new orthogonal transfonn the multivariate change detection (MeD) transfonn based on an established multivariate statistical technique canonical correlation analysis. The theory for canonical correlation analysis is sketched and modified to be more directly applicable in our context. As opposed to traditional univariate change detection schemes our scheme transforms two s...