Some Pre-Analysis Techniques of Remote Sensing Images for Land-Use in Mekong Delta

Abstract

In recent year, socio-economic development has changed land-use status strongly in Mekong Delta. This will affect making decision of regional and local developing plans. Therefore, studying on fact identifying methods of land use status will be helpful for managers to make developing plans. The techniques of remote sensing analysis can make them. The remote sensing images can recognized the status of landuse rather well. However, analysis results are influenced natural conditions during getting images time, such as clouds covered and low resolution. However, as the same time, many satellites can give other images in the same as areas. Therefore, the combining good signal areas of other images with the main images will give the better images. This processing is carried out by the fusion image method. In this paper, this method is applied to merge the SPOT images (main images) with RADARSAT images (using good signal areas). On the other ways, other preprocessing techniques, such as the filter methods, can enhance the images and overcome these obstacles and difficulties. In addition, the paper also gives some results of application image analysis for landuse identification. Auto-detection of shrimp ponds presents the first general pictures of distribution of shrimp ponds in study areas, which is very helpful for making plans of field trips of the next analysis processes. The supervised classification method cooperation with field trips and ground truth helps in recognizing landuse status automatically.