In recent yrars

We were engaged in the dynamic remote sensing monitoring of the projects in the sea areas of Macao and Modaomen. In this work

a problem rose: how to extract the remote sensing image information about underwater objects and structures. As well known

in the fields of resources environment remote sensing

water environment remote sensing is more complicated than land resources remote sensing mainly due to the small range of brightness of the water image pixel and the image is of low density with low pirel brightness. Therefore

the purpose of ocean image process ing is emphasizing and identifying the imforma-tion of underwater objects from water. It is even more technically difficult to extract the remote sensing information of offshore projects

which in pratice needs comprehensive multib-ranch knowledge. In this paper

an inf ormatio n extraction method combining

computer processing and optical processing with remarkable effectiveness is described. For an esample

according to the practical requirement of the projects in the sea areas of Macao and Modamen

successful verification of model flow pattern is provided by means of remote sensing image information. Dydamic image information about the barriers for the reclamaion project in the sea area of Modaomen is provided as well. Fruitful social and economic profit is achieved.