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.
