The invention relates to an object-oriented
remote sensing image building and a shade extraction method of the
remote sensing image building. The method comprises the following steps that the images are preprocessed; the multi-scale division is carried out, and an
image scale layer corresponding to the optimum division size of a ground object is selected; non-buildings and non-shades (roads, water bodies,
vegetation and bare land) are extracted, and images comprising buildings and the shade candidate object regions are obtained; shade primary extraction is carried out by using spectrum characteristics, the nearest classifier is adopted, a
characteristic space is built by combining with the spectrum characteristics, the building primary extraction is carried out, and building potential region and a shade potential region are obtained; and buildings and shades of the buildings are obtained by adopting optimization
processing methods of space characteristics, context relationship, smoothening and the like. The object-oriented
remote sensing image building and the shade extraction method can effectively solve the problem of
confusion among the buildings, the roads and the bare land as well as between the shades of the buildings and the water bodies, the extraction precision of the buildings and the shades of the buildings is high, the process flow is simple, and a certain practical value is realized in the work of basic data updating,
urban planning, urban disaster prevention and reduction in the
urban construction.