Methods of automatic computing land area of blocks in classified remote sensing images

Area count is often met in application of remote sensing. This paper presents two methods of automatic area computation of blocks in classified remote sensing images. These two algorithms, named line scanning and point growth, are developed from methods of graph filling in computer graphics, lines canning transformation and seed filling. In following paragraphs, these two methods are analyzed in detail and comparison is made between these two algorithms. After that, conclusion is drawn that point growth is easy to realize and line scanning is easy to access a fast processing speed. At last a computation result is given.