Research Of Land-Use And Land Cover Classification Based On Object-Oriented Method

With the popularity of IKNONOS,QuickBird and the appearance of WorldView-1,High-resolution Image has been the main data source in the research of land use/cover. High-resolution image has vast information of space and clear texture. Traditional method of classification can't extract the useful space information. the classification based on pixel would come to the"pepper-salt effect", usefulness patch, which is failed in the accuracy assessment. People developed object-oriented classification, which is applied in the land use/cover classification or information extract, from the image segmentation.Object-oriented classification worked base on the object, and define the object by scale, shape/color, compactness/smoothness.Definiens, which is professional software, have some segmentation algorithm, such as quadtree segmentation or chessboard, and the multi-scale is the most popularity. The choosing of the best scale is bother the researchers, many people try to find a rule, such as the most area, as these rule is too complicated, most of the researcher choose the scale by eyes.This paper create the index of ,and choose a set of scale for a hierarchical system of land use and cover, which is including river, road , forest, land ,irrigated land, house, damaged land ,shadow, tree cluster and so on. With the base of segmentation, classified the luc according to the nearest neighbor method and fuzzy classification.With the result of Kappa coefficient is 0.79, maybe, it is classified easily to segmented the vegetation and river, which have a good feature of spectrum or geometry, at the same time, house was wrongly classified with disorder spectrum.