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3 November 2008 Research on land use/cover change of Wuhan based on object oriented image interpretation method
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Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71440A (2008) https://doi.org/10.1117/12.812700
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Higher resolution remote sensor has already become the significant instrument to obtain the change information quickly, veraciously, and comprehensively. Two different remote sensing images are used to obtain the change information by using an object oriented analyzing method in Land Use/Cover Change. Data is gathered according to the images' resolution, characteristic, size and texture property of the earth surface objects. Meanwhile, the color, shape, smoothness, and compactness of the images are reviewed to form many-adjacent-pixel objects which contain more semantic information. Combined with the knowledge of land use classification and loading classifier of discriminate class, a characteristic space is defined to establish a knowledge base. Two or three different typical features are chosen to serve as the training samples, and a data base could be completed successfully. Non-segmented or error-segmented objects are adjusting into correct ones favorably. Analyzing the data, only the areas of the lands for construction purpose and reservoir and bottomland have been increased in the whole city, while the areas of arable land, river and lake land, woodland, grassland, and not exploited or developed land have been decreased in more or less degree, which means that a tendency to expansion has become more and more significant.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiyan Zhu and Aiwen Lin "Research on land use/cover change of Wuhan based on object oriented image interpretation method", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440A (3 November 2008); https://doi.org/10.1117/12.812700
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