Research On Object-Oriented Change Detection Technology Of Remote Sensing Images

Change detection of remote sensing images has been applied extensively in civil and military areas. By analyzing the multi-temporal remote sensing images, change detection can be used to extract and locate the ground change information and it can also be used to analyze the change information and change progress quantitatively. The extracted change information can be used in updating geography date and application, monitoring evaluating and predicting natural disasters, as well as battlefield situation analysis and evaluation of strike effectiveness.This dissertation mainly studies that how do automatic extract changed information from multi-temporal remote sensing images, which discuss deeply some theory and methods on Object-Oriented remote sensing images change detection. The major innovations of this dissertation are listed as follows:1. The development background and status of change detection are discussed, existing problems of change detection approaches and theory are summarized. The expression, attribute and application of objects are deeply analyzed. The segmentation of object are concluded and summarized in the round. Object-oriented image analysis method was applied to multi-temporal remote sensing image change detection.2. Spatial structure is proposed based on the Error matching method. Aimed to the Error matching, taking into account the change detection does not change in two areas of remote sensing images, with the same or similar spatial structure of relative stability based on the information presented in the pending registration. Via constructing a triangle image to simulate the spatial structure of surface features to eliminate false matching points. Experiments show the effectiveness for the method.3. In order to extract object, focusing on dividing the image into internal characteristics relatively homogeneous, the difference between them. A lot image objects are segmented. In this paper, firstly discuss the mean shift method and the fractal net evolution approach. Then watershed method is imported to object-oriented change detection segmentation, Aimed to watershed approach have the immoderacy segmentation problem, Then propose in the gradient image processing, while filter and unite small areas based on local homogeneity. Experiment proved the notable reduction of excessive division and the extraction of object is achieved.4. The change vector analysis is applied to Object-Oriented change detection of remote sensing images. The method of expression variation intension by making use of logicals of layer is discussed of object change vector analysis. In order to obtain the changing intensity of the image rapidly and effectively, the automatic obtain of changes threshold by making use of two-dimensional Otsu. The rapid calculation method is proposed according to the slow speed of two-dimensional Otsu. Experiment proved the feasibility of this method.All the arithmetic are experimented by making use of multi-temporal remote sensing images, and exploit an object-oriented change detection system. Object-oriented approach is better than the pixel-based change detection method.