Fast detection of changed blocks in land use map

Using remote sensing images to monitor land use information, extract changed information, which has a wide range of research value and is the key technologies in the field of land use monitoring. The article analyses the current methods of change detection and designs a fast detection method of changed blocks in land use map with the before and after remote sensing images. The method uses the spirit of object-oriented technology, and makes the polygons in the land use map directly as the objects for research. Then calculates the feature value(mean value of layer 1 and layer 2, NDVI, GLCM Homogeneity of layer 3 and layer 4 used in this article ) of each objects in the before and after remote sensing images. After normalized processing for feature value, calculates the Euclidean distance between feature vectors. Finally, extracts the changed polygons in land use map according to the threshold. The experiment proves that the article´s method can fast and accurately detect the changed blocks in land use map.